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Article
Static/dynamic event-triggered learning control for constrained nonlinear systems
This paper designs two novel event-triggered control (ETC) schemes based on the critic learning technique for constrained discrete-time nonlinear systems. First, starting from the stability of the constrained ...
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Article
Fuzzy Intermittent Control for Nonlinear PDE-ODE Coupled Systems
This paper introduces a fuzzy intermittent control issue for nonlinear PDE-ODE coupled system under spatially point measurements (SPMs), which can be represented by an ordinary differential equation (ODE) and ...
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Article
Stabilizing value iteration Q-learning for online evolving control of discrete-time nonlinear systems
In this paper, a new stabilizing value iteration Q-learning (SVIQL) algorithm is presented to achieve the online evolving control for unknown nonlinear systems. To achieve this, we aim to establish the data-dr...
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Article
CO emission predictions in municipal solid waste incineration based on reduced depth features and long short-term memory optimization
Carbon monoxide (CO) is a toxic gas emitted during municipal solid waste incineration (MSWI). Its emission prediction is conducive to pollutant reduction and optimized control of MSWI. The variables of MSWI ex...
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Article
An adaptive evolutionary modular neural network with intermodule connections
To approach the brain-like neural network and further improve the performance of the modular neural network (MNN), an adaptive evolutionary modular neural network with intermodule connections (EA-ICMNN) is pro...
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Article
A hybrid attention model based on first-order statistical features for smoke recognition
Smoke and fire recognition are of great importance on foreseeing fire disasters and preventing environmental pollution by monitoring the burning process of objects (e.g., straw, fuels). However, since fire ima...
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Article
A WSFA-based adaptive feature extraction method for multivariate time series prediction
In recent years, artificial neural networks (ANNs) have been successfully and widely used in multivariate time series prediction, but the accuracy of the prediction is significantly affected by the ANNs’ input...
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Article
Application of TCN-biGRU neural network in \( PM_{2.5}\) concentration prediction
Fine particulate matter ( \( PM_{2.5}\) P M ...
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Article
Event-triggered robust adaptive critic control for nonlinear disturbed systems
A novel dynamic event-triggered control strategy is proposed by utilizing the adaptive critic learning (ACL) technique for nonlinear continuous-time systems subject to disturbances in this paper. To address th...
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Article
Event-triggered fuzzy neural multivariable control for a municipal solid waste incineration process
Because of coupling, nonlinearity, and uncertainty in a municipal solid waste incineration (MSWI) process, a suitable multivariable controller is difficult to establish under strong disturbance. Additionally, ...
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Article
Advanced value iteration for discrete-time intelligent critic control: A survey
Optimal control problems are ubiquitous in practical engineering applications and social life with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive dynamic programming (...
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Article
LASSO and attention-TCN: a concurrent method for indoor particulate matter prediction
Long time exposure to indoor air pollution environments can increase the risk of cardiovascular and respiratory system damage. Most previous studies focus on outdoor air quality, while few studies on indoor ai...
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Article
Dissolved oxygen concentration control in wastewater treatment process based on reinforcement learning
In this article, the dissolved oxygen (DO) concentration control problem in wastewater treatment process (WWTP) is studied. Unlike existing control strategies that control DO concentration at a fixed value, he...
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Article
Knowledge Reconstruction for Dynamic Multi-objective Particle Swarm Optimization Using Fuzzy Neural Network
Many real−world applications are dynamic multi−objective optimization problems (DMOPs). The transfer of knowledge in the evolutionary process is believed to have advantages in solving DMOPs. However, most exis...
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Article
Adaptive critic design for nonlinear multi-player zero-sum games with unknown dynamics and control constraints
In this paper, a novel optimal control scheme is established to solve the multi-player zero-sum game (ZSG) issue of continuous-time nonlinear systems with control constraints and unknown dynamics based on the ...
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Article
Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process
Due to the large uncertainty in the municipal solid waste incineration (MSWI) process, the furnace temperature of the MSWI process is difficult to control and the controller is updated frequently. To improve t...
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Article
Virtual sample generation method based on generative adversarial fuzzy neural network
Key performance indicators of complex industrial process such as production quality and pollutant emissions concentration are difficult to be measured online due to limited detection technology and high econom...
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Article
An online adjusting RBF neural network for nonlinear system modeling
Aiming to improve the prediction accuracy and to obtain a compact structure, an online adjusting radial basis function neural network (OA-RBFNN) is proposed in this paper. The proposed OA-RBFNN realizes online...
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Article
Fuzzy super-twisting sliding mode control for municipal wastewater nitrification process
A fuzzy super-twisting algorithm sliding mode controller is developed for the dissolved oxygen concentration in municipal wastewater nitrification process. First, a fuzzy neural network (FNN) model is designed...
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Article
Adaptive candidate estimation-assisted multi-objective particle swarm optimization
The selection of global best (Gbest) exerts a high influence on the searching performance of multi-objective particle swarm optimization algorithm (MOPSO). The candidates of MOPSO in external archive are alway...