Hao Shen

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research-article
Data-driven event-triggered control for discrete-time T-S fuzzy systems subject to actuator saturation
- Zhen Wang
  College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
  ,
- Yanbo Chen
  College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
  ,
- Yanyan Ni
  College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
  ,
- Xia Huang
  College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao 266590, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan 243002, China
Fuzzy Sets and Systems, Volume 501, Issue C•Feb 2025 • https://doi.org/10.1016/j.fss.2024.109204
Abstract
This paper is concerned with data-driven event-triggered control for a class of discrete-time Takagi-Sugeno (T-S) fuzzy systems subject to actuator saturation. Based on the proposed event-triggered mechanism (ETM) and the discrete-time Lyapunov ...
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A Balanced Collision Avoidance Algorithm for USVs in Complex Environment: A Deep Reinforcement Learning Approach
- Mengmeng Lou
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China
  ,
- Xiaofei Yang
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China
  ,
- Jiabao Hu
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China
  ,
- Zhiyu Zhu
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan, Anhui, China
  ,
- Zhengrong Xiang
  School of Automation, Nanjing University of Science and Technology, Nanjing, China
  ,
- Bin Zhang
  Department of Electrical Engineering, University of South Carolina, Columbia, SC, USA
IEEE Transactions on Intelligent Transportation Systems, Volume 25, Issue 12•Dec. 2024, pp 21404-21415 • https://doi.org/10.1109/TITS.2024.3478319
The collision avoidance in real-time is crucial for unmanned surface vehicles (USVs) in a complex environment. Traditional methods make it hard to ensure the balance of control decisions. To balance safety and practicality, a collision avoidance algorithm ...
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Fuzzy Formation Control for Nonlinear Multiagent Systems With Two Time Scales: A Reinforcement Learning Scheme
- Qing Yang
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control, School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Jing Wang
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control, School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Hao Shen
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control, School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Ju H. Park
  Department of Electrical Engineering, Yeungnam University, Kyongsan, South Korea
IEEE Transactions on Fuzzy Systems, Volume 32, Issue 12•Dec. 2024, pp 7190-7195 • https://doi.org/10.1109/TFUZZ.2024.3466922
This article investigates the formation control problem for nonlinear multiagent systems (MASs) exhibiting two time scale (TTS) characteristics. Initially, a fuzzy model is introduced to capture the dynamics of the original nonlinear MASs. Subsequently, a ...
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A human-like collision avoidance method for USVs based on deep reinforcement learning and velocity obstacle
- Xiaofei Yang
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  ,
- Mengmeng Lou
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  ,
- Jiabao Hu
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  ,
- Hui Ye
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  ,
- Zhiyu Zhu
  School of Automation, Jiangsu University of Science and Technology, Zhenjiang 212100, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan 242032, China
  ,
- Zhengrong Xiang
  School of Automation, Nanjing University of Science and Technology, Nanjing 210094, China
  ,
- Bin Zhang
  Department of Electrical Engineering, University of South Carolina, Columbia 29224, USA
Expert Systems with Applications: An International Journal, Volume 254, Issue C•Nov 2024 • https://doi.org/10.1016/j.eswa.2024.124388
Abstract
Collision avoidance is critical in unmanned surface vehicles (USVs) and is especially challenging in scenarios involving ships of different intelligence levels. To address this problem, inspired by risk analysis and collision avoidance habits of ...
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Optimal Control for Fuzzy Markov Jump Singularly Perturbed Systems: A Hybrid Zero-Sum Game Iteration Approach
- Jing Wang
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and the School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Yaling Huang
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and the School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Xiangpeng Xie
  Institute of Advanced Technology, Nanjing University of Posts and Telecommunications, Nanjing, China
  ,
- Huaicheng Yan
  School of Information Science and Engineering, East China University of Science and Technology, Shanghai, China
  ,
- Hao Shen
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and the School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
IEEE Transactions on Fuzzy Systems, Volume 32, Issue 11•Nov. 2024, pp 6388-6398 • https://doi.org/10.1109/TFUZZ.2024.3449322
This article addresses a novel optimal fuzzy control scheme for a category of nonlinear Markov jump singularly perturbed systems with mixed zero-sum (MZS) game. First, a Takagi–Sugeno fuzzy structure is employed to describe the nonlinear plant. On ...
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State estimation of singularly perturbed Semi-Markov jump coupled neural networks: A two-time-scale event-triggered approach
- Ya-Nan Wang
  School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China
  ,
- Feng Li
  School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma’anshan 243002, China
Knowledge-Based Systems, Volume 301, Issue C•Oct 2024 • https://doi.org/10.1016/j.knosys.2024.112299
Abstract
The state estimation problem of singularly perturbed semi-Markov jump coupled neural networks is investigated in this paper, in which a two-time-scale event-triggered mechanism is proposed to adapt the two-time-scale character of the singularly ...
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Q-learning-based non-zero sum games for Markov jump multiplayer systems under actor-critic NNs structure
- Yun Wang
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
  ,
- Jiawei Xia
  School of Mathematical Sciences, Liaocheng University, Liaocheng 252059, PR China
  ,
- Jing Wang
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
Information Sciences: an International Journal, Volume 681, Issue C•Oct 2024 • https://doi.org/10.1016/j.ins.2024.121196
Abstract
This article addresses the problem of non-zero sum games for Markov jump multiplayer systems (MJMSs) using the reinforcement Q-learning method. Firstly, the Q-functions for each player are derived from the system states and the control inputs. On ...
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Multi-group consensus of multi-agent systems subject to semi-Markov jump topologies against hybrid cyber-attacks
- Duomei Li
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Feng Li
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Jianwei Xia
  School of Mathematical Sciences, Liaocheng University, Liaocheng 252059, China
  ,
- Xihong Fei
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
Information Sciences: an International Journal, Volume 679, Issue C•Sep 2024 • https://doi.org/10.1016/j.ins.2024.121092
Abstract
Multi-agent systems are widely used in practice. The existing results on the consensus of multi-agent systems mainly focus on the complete consensus, which can not deal with the situation of the system in the face of multiple tasks. In this paper,...
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Predefined-Time Event-Triggered Tracking Control for Nonlinear Servo Systems: A Fuzzy Weight-Based Reinforcement Learning Scheme
- Hao Shen
  School of Electrical and Information Engineering and Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Anhui University of Technology, Ma'anshan, China
  ,
- Wei Zhao
  School of Electrical and Information Engineering and Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Anhui University of Technology, Ma'anshan, China
  ,
- Jinde Cao
  Mathematics Southeast University, Nanjing, China
  ,
- Ju H. Park
  Department of Electrical Engineering, Yeungnam University, Kyongsan, Republic of Korea
  ,
- Jing Wang
  School of Electrical and Information Engineering and Anhui Provincial Key Laboratory of Power Electronics and Motion Control, Anhui University of Technology, Ma'anshan, China
IEEE Transactions on Fuzzy Systems, Volume 32, Issue 8•Aug. 2024, pp 4557-4569 • https://doi.org/10.1109/TFUZZ.2024.3403917
In this article, a novel reinforcement-learning-based predefined-time control method for nonlinear servo systems with prescribed performance is proposed under an event-triggered strategy. First, the nonlinear dynamics and control behaviors of the systems ...
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Dynamic event-triggered-based adaptive fuzzy optimized control for slowly switched nonlinear system with intermittent state constrains
- Jing Zhang
  School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252000, China
  ,
- Chengyuan Yan
  School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252000, China
  ,
- Jianwei Xia
  School of Mathematical Sciences, Liaocheng University, Liaocheng, Shandong 252000, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Xiangpeng Xie
  School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210023, China
Information Sciences: an International Journal, Volume 674, Issue C•Jul 2024 • https://doi.org/10.1016/j.ins.2024.120717
Abstract
This article presents a novel fuzzy event-triggered optimized strategy for slowly switched nonlinear system using reinforcement learning technique. For addressing intermittent state constraints problem, some improved shifting functions and ...
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Fuzzy Cooperative Output Regulation for Open Nonlinear Multiagent Systems
- Xinmiao Liu
  Department of Control Science and Engineering, Tongji University, Shanghai, China
  ,
- Zhuping Wang
  Department of Control Science and Engineering, Tongji University, Shanghai, China
  ,
- Hao Zhang
  Department of Control Science and Engineering, Tongji University, Shanghai, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
IEEE Transactions on Fuzzy Systems, Volume 32, Issue 6•June 2024, pp 3693-3702 • https://doi.org/10.1109/TFUZZ.2024.3379008
In this article, the cooperative output regulation problem is investigated for heterogeneous nonlinear multiagent systems allowing frequent arrivals and departures of agents. Inspired by generally switched systems with multimodes and multidimensions, the ...
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Adaptive Fuzzy Asymptotic Tracking Control of Uncertain Nonlinear Systems With Full State Constraints
- Shaoyu Lü
  Anhui Province Engineering Laboratory of Intelligent Demolition Equipment and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Hao Shen
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
IEEE Transactions on Fuzzy Systems, Volume 32, Issue 5•May 2024, pp 2750-2761 • https://doi.org/10.1109/TFUZZ.2024.3360146
This article addresses the problem of adaptive constraint control for a class of uncertain nonlinear strict feedback systems with full state constraints. Novel fuzzy logic-based adaptive adjustment techniques are adopted to help identify system ...
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A reinforcement learning integral sliding mode control scheme against lumped disturbances in hot strip rolling
- Hongfei Ding
  AnHui Province Key Laboratory of Special Heavy Load Robot and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
  School of Management Science and Technology, Anhui University of Technology, Ma'anshan 243032, China
  ,
- Yudong Wang
  AnHui Province Key Laboratory of Special Heavy Load Robot and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
  ,
- Hao Shen
  AnHui Province Key Laboratory of Special Heavy Load Robot and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243032, China
Applied Mathematics and Computation, Volume 465, Issue C•Mar 2024 • https://doi.org/10.1016/j.amc.2023.128407
Highlights

An optimal ISMC with an RL algorithm is proposed.
The proposed control scheme which combined ISMC and RL algorithm is attempted for the first time.
A novel reaching law of SMC is applied to alleviate the chattering phenomenon.
Abstract
In the hot strip rolling production process, due to the influence of external disturbances and unmodeled errors which are defined as lumped disturbances (LDs), the looper operating angle and strip tension may not satisfy the requirements of ...
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Nonzero-sum games using actor-critic neural networks: A dynamic event-triggered adaptive dynamic programming
- Hao Shen
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Ziwei Li
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Jing Wang
  Anhui Provincial Key Laboratory of Power Electronics and Motion Control and School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan 243002, China
  ,
- Jinde Cao
  The School of Mathematics, Southeast University, Nanjing 210096, China
Information Sciences: an International Journal, Volume 662, Issue C•Mar 2024 • https://doi.org/10.1016/j.ins.2024.120236
Abstract
This paper mainly investigates the nonzero-sum games of nonlinear systems with unmatched uncertainty by using actor-critic neural networks. To handle the unmatched components, an auxiliary system with a modified value function is constructed, ...
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Inverse distance weighting and radial basis function based surrogate model for high-dimensional expensive multi-objective optimization
- Fei Li
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, 243002, China
  Anhui Province Engineering Laboratory of Intelligent Demolition Equipment, Maanshan, 243032, China
  Anhui Province Key Laboratory of Special and Heavy Load Robot, Maanshan, 243032, China
  ,
- Zhengkun Shang
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, 243002, China
  ,
- Yuanchao Liu
  State Key Laboratory of Synthetical Automation for Process Industries, Northeastern University, Shenyang, 110819, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, 243002, China
  ,
- Yaochu Jin
  Nature Inspired Computing and Engineering, Faculty of Technology, Bielefeld University, Bielefeld 33619, Germany
Applied Soft Computing, Volume 152, Issue C•Feb 2024 • https://doi.org/10.1016/j.asoc.2023.111194
Abstract
Radial basis function (RBF) models have attracted a lot of attention in assisting evolutionary algorithms for solving computationally expensive optimization problems. However, most RBFs cannot directly provide the uncertainty information of their ...
Highlights

Proposed an surrogate assisted evolutionary algorithm.
Builded surrogates based on the radial basis function and inverse distance weighting.
Proposed a modified lower confidence bound to balance exploration and exploitation.
...
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A Multi-Sensor-Based Switching Event-Triggered Mechanism for Synchronization Control of Markovian Jump Neural Networks Under DoS Attacks
- Lan Yao
  College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
  ,
- Xia Huang
  College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
  ,
- Zhen Wang
  College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, China
IEEE Transactions on Information Forensics and Security, Volume 19•2024, pp 7548-7559 • https://doi.org/10.1109/TIFS.2024.3441812
This paper investigates the secure synchronization control of Markovian jump neural networks (MJNNs) suffering from denial of service attacks (DoS attacks). The issue is presented for two reasons: 1) multiple sensors are generally used to measure the ...
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Secure Stabilization of Networked Lur’e Systems Suffering From DoS Attacks: A Resilient Memory-Based Event-Trigger Mechanism
- Yanyan Ni
  College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China
  ,
- Zhen Wang
  College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, China
  ,
- Yingjie Fan
  College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
  ,
- Xia Huang
  College of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Maanshan, China
IEEE Transactions on Information Forensics and Security, Volume 19•2024, pp 4658-4669 • https://doi.org/10.1109/TIFS.2024.3384055
This paper focuses on the exponential stabilization issue of networked Lur’e systems (NLSs) suffering from DoS attacks. To conserve limited network resources and withstand aperiodic DoS attacks, a resilient memory-based event-trigger (RMET) ...
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Fault‐tolerant secure H∞$$ H\infty $$ synchronization for complex networks with semi‐Markov jump topology
- Yunhan Qi
  School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China
  ,
- Lei Su
  School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China
  Anhui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma'anshan China
  ,
- Hao Shen
  School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China
  Anhui Province Key Laboratory of Special Heavy Load Robot Anhui University of Technology Ma'anshan China
International Journal of Adaptive Control and Signal Processing, Volume 37, Issue 12•December 2023, pp 3212-3228 • https://doi.org/10.1002/acs.3679
Summary
The article mainly studies the fault‐tolerant control of complex networks with semi‐Markov jump topology under hybrid attacks. First, the semi‐Markov process is imported to the topology change of sampled‐data complex networks. Second, by designing ...
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Non‐fragile state estimation of discrete‐time two‐time‐scale Markov jump complex networks subject to partially known probabilities
- Youzhi Cai
  School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China
  ,
- Feng Li
  School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China
  ,
- Jianwei Xia
  School of Mathematical Sciences Liaocheng University Liaocheng China
  ,
- Hao Shen
  School of Electrical and Information Engineering Anhui University of Technology Ma'anshan China
International Journal of Adaptive Control and Signal Processing, Volume 37, Issue 12•December 2023, pp 3111-3124 • https://doi.org/10.1002/acs.3675
Summary
This paper investigates the problem of non‐fragile H∞$$ {H}_{\infty } $$ state estimation for Markov jump complex networks with two‐time‐scale characteristics in discrete time, in which the transition probabilities information is partially known. A ...
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Fuzzy $\mathcal {H}_{\infty }$ Control of Semi-Markov Jump Singularly Perturbed Nonlinear Systems With Partial Information and Actuator Saturation
- Jing Wang
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Zongjie Chen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Hao Shen
  School of Electrical and Information Engineering, Anhui University of Technology, Ma'anshan, China
  ,
- Jinde Cao
  School of Mathematics and the Frontiers Science Center for Mobile Information Communication and Security, Southeast University, Nanjing, China
  ,
- Leszek Rutkowski
  AGH University of Kraków, Kraków, Poland
IEEE Transactions on Fuzzy Systems, Volume 31, Issue 12•Dec. 2023, pp 4374-4384 • https://doi.org/10.1109/TFUZZ.2023.3284609
This article focuses on the fuzzy <inline-formula><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> control problem for a class of semi-Markov jump singularly perturbed nonlinear systems with actuator saturation. ...
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ACM Author-Izer Service

Summary Description

ACM Author-Izer is a unique service that enables ACM authors to generate and post links on both their homepage and institutional repository for visitors to download the definitive version of their articles from the ACM Digital Library at no charge.

Downloads from these sites are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to definitive version of ACM articles should reduce user confusion over article versioning.

ACM Author-Izer also extends ACM’s reputation as an innovative “Green Path” publisher, making ACM one of the first publishers of scholarly works to offer this model to its authors.

To access ACM Author-Izer, authors need to establish a free ACM web account. Should authors change institutions or sites, they can utilize the new ACM service to disable old links and re-authorize new links for free downloads from a different site.

How ACM Author-Izer Works

Authors may post ACM Author-Izer links in their own bibliographies maintained on their website and their own institution’s repository. The links take visitors to your page directly to the definitive version of individual articles inside the ACM Digital Library to download these articles for free.

The Service can be applied to all the articles you have ever published with ACM.

Depending on your previous activities within the ACM DL, you may need to take up to three steps to use ACM Author-Izer.

For authors who do not have a free ACM Web Account:

Go to the ACM DL http://dl.acm.org/ and click SIGN UP. Once your account is established, proceed to next step.

For authors who have an ACM web account, but have not edited their ACM Author Profile page:

Sign in to your ACM web account and go to your Author Profile page. Click "Add personal information" and add photograph, homepage address, etc. Click ADD AUTHOR INFORMATION to submit change. Once you receive email notification that your changes were accepted, you may utilize ACM Author-izer.

For authors who have an account and have already edited their Profile Page:

Sign in to your ACM web account, go to your Author Profile page in the Digital Library, look for the ACM Author-izer link below each ACM published article, and begin the authorization process. If you have published many ACM articles, you may find a batch Authorization process useful. It is labeled: "Export as: ACM Author-Izer Service"

ACM Author-Izer also provides code snippets for authors to display download and citation statistics for each “authorized” article on their personal pages. Downloads from these pages are captured in official ACM statistics, improving the accuracy of usage and impact measurements. Consistently linking to the definitive version of ACM articles should reduce user confusion over article versioning.

Note: You still retain the right to post your author-prepared preprint versions on your home pages and in your institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library. But any download of your preprint versions will not be counted in ACM usage statistics. If you use these AUTHOR-IZER links instead, usage by visitors to your page will be recorded in the ACM Digital Library and displayed on your page.

FAQ

Q. What is ACM Author-Izer?
A. ACM Author-Izer is a unique, link-based, self-archiving service that enables ACM authors to generate and post links on either their home page or institutional repository for visitors to download the definitive version of their articles for free.
Q. What articles are eligible for ACM Author-Izer?
A. ACM Author-Izer can be applied to all the articles authors have ever published with ACM. It is also available to authors who will have articles published in ACM publications in the future.

Q. Are there any restrictions on authors to use this service?
A. No. An author does not need to subscribe to the ACM Digital Library nor even be a member of ACM.

Q. What are the requirements to use this service?
A. To access ACM Author-Izer, authors need to have a free ACM web account, must have an ACM Author Profile page in the Digital Library, and must take ownership of their Author Profile page.

Q. What is an ACM Author Profile Page?
A. The Author Profile Page initially collects all the professional information known about authors from the publications record as known by the ACM Digital Library. The Author Profile Page supplies a quick snapshot of an author's contribution to the field and some rudimentary measures of influence upon it. Over time, the contents of the Author Profile page may expand at the direction of the community. Please visit the ACM Author Profile documentation page for more background information on these pages.

Q. How do I find my Author Profile page and take ownership?
A. You will need to take the following steps:
- Create a free ACM Web Account
- Sign-In to the ACM Digital Library
- Find your Author Profile Page by searching the ACM Digital Library for your name
- Find the result you authored (where your author name is a clickable link)
- Click on your name to go to the Author Profile Page
- Click the "Add Personal Information" link on the Author Profile Page
- Wait for ACM review and approval; generally less than 24 hours

Q. Why does my photo not appear?
A. Make sure that the image you submit is in .jpg or .gif format and that the file name does not contain special characters

Q. What if I cannot find the Add Personal Information function on my author page?
A. The ACM account linked to your profile page is different than the one you are logged into. Please logout and login to the account associated with your Author Profile Page.

Q. What happens if an author changes the location of his bibliography or moves to a new institution?
A. Should authors change institutions or sites, they can utilize ACM Author-Izer to disable old links and re-authorize new links for free downloads from a new location.

Q. What happens if an author provides a URL that redirects to the author’s personal bibliography page?
A. The service will not provide a free download from the ACM Digital Library. Instead the person who uses that link will simply go to the Citation Page for that article in the ACM Digital Library where the article may be accessed under the usual subscription rules.

However, if the author provides the target page URL, any link that redirects to that target page will enable a free download from the Service.

Q. What happens if the author’s bibliography lives on a page with several aliases?
A. Only one alias will work, whichever one is registered as the page containing the author’s bibliography. ACM has no technical solution to this problem at this time.

Q. Why should authors use ACM Author-Izer?
A. ACM Author-Izer lets visitors to authors’ personal home pages download articles for no charge from the ACM Digital Library. It allows authors to dynamically display real-time download and citation statistics for each “authorized” article on their personal site.

Q. Does ACM Author-Izer provide benefits for authors?
A. Downloads of definitive articles via Author-Izer links on the authors’ personal web page are captured in official ACM statistics to more accurately reflect usage and impact measurements.

Authors who do not use ACM Author-Izer links will not have downloads from their local, personal bibliographies counted. They do, however, retain the existing right to post author-prepared preprint versions on their home pages or institutional repositories with DOI pointers to the definitive version permanently maintained in the ACM Digital Library.

Q. How does ACM Author-Izer benefit the computing community?
A. ACM Author-Izer expands the visibility and dissemination of the definitive version of ACM articles. It is based on ACM’s strong belief that the computing community should have the widest possible access to the definitive versions of scholarly literature. By linking authors’ personal bibliography with the ACM Digital Library, user confusion over article versioning should be reduced over time.

In making ACM Author-Izer a free service to both authors and visitors to their websites, ACM is emphasizing its continuing commitment to the interests of its authors and to the computing community in ways that are consistent with its existing subscription-based access model.

Q. How do authors access ACM Author-Izer?
A. See How to Use

Q. Why can’t I find my most recent publication in my ACM Author Profile Page?
A. There is a time delay between publication and the process which associates that publication with an Author Profile Page. Right now, that process usually takes 4-8 weeks.

Q. How does ACM Author-Izer expand ACM’s “Green Path” Access Policies?
A. ACM Author-Izer extends the rights and permissions that authors retain even after copyright transfer to ACM, which has been among the “greenest” publishers. ACM enables its author community to retain a wide range of rights related to copyright and reuse of materials. They include:
- Posting rights that ensure free access to their work outside the ACM Digital Library and print publications
- Rights to reuse any portion of their work in new works that they may create
- Copyright to artistic images in ACM’s graphics-oriented publications that authors may want to exploit in commercial contexts
- All patent rights, which remain with the original owner

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