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Kenta Hoshino
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2020 – today
- 2024
- [j5]Yûki Nishimura, Kenta Hoshino:
Control Barrier Functions for Stochastic Systems and Safety-Critical Control Designs. IEEE Trans. Autom. Control. 69(11): 8088-8095 (2024) - [c27]Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira:
Physics-Informed Representation and Learning: Control and Risk Quantification. AAAI 2024: 21699-21707 - [i4]Toshinori Kitamura, Tadashi Kozuno, Wataru Kumagai, Kenta Hoshino, Yohei Hosoe, Kazumi Kasaura, Masashi Hamaya, Paavo Parmas, Yutaka Matsuo:
Near-Optimal Policy Identification in Robust Constrained Markov Decision Processes via Epigraph Form. CoRR abs/2408.16286 (2024) - 2023
- [j4]Kenta Hoshino, Zhuoyuan Wang, Yorie Nakahira:
Scalable Long-Term Safety Certificate for Large-Scale Systems. IEEE Control. Syst. Lett. 7: 1285-1290 (2023) - [j3]Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe:
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control With Action Constraints. IEEE Robotics Autom. Lett. 8(8): 4449-4456 (2023) - [c26]Yûki Nishimura, Kenta Hoshino:
Safety-Probability Analysis and Control for Stochastic Systems Based on Lyapunov Candidate Functions. CDC 2023: 4818-4823 - [c25]Kenta Hoshino:
Finite-Horizon Optimal Control of Continuous-Time Stochastic Systems with Terminal Cost of Wasserstein Distance. CDC 2023: 5825-5830 - [i3]Kazumi Kasaura, Shuwa Miura, Tadashi Kozuno, Ryo Yonetani, Kenta Hoshino, Yohei Hosoe:
Benchmarking Actor-Critic Deep Reinforcement Learning Algorithms for Robotics Control with Action Constraints. CoRR abs/2304.08743 (2023) - [i2]Zhuoyuan Wang, Reece Keller, Xiyu Deng, Kenta Hoshino, Takashi Tanaka, Yorie Nakahira:
Physics-informed Representation and Learning: Control and Risk Quantification. CoRR abs/2312.10594 (2023) - 2022
- [c24]Kenta Hoshino:
On Estimate of Settling-Time Distributions of Finite-Time Stable Stochastic Systems. CDC 2022: 1672-1677 - [c23]Yoshinari Takayama, Kenta Hoshino, Toshiyuki Ohtsuka:
Algebraic Approach to Global Finite-Time Stabilization of Multi-Input Polynomial Systems. CDC 2022: 1847-1854 - [i1]Yûki Nishimura, Kenta Hoshino:
Control Barrier Functions for Stochastic Systems With Quantitative Evaluation of Probability. CoRR abs/2209.08728 (2022) - 2021
- [c22]Kenta Hoshino, Kazunori Sakurama:
Probability Distribution Control of Finite-State Markov Chains with Wasserstein Costs and Application to Operation of Car-Sharing Services. CDC 2021: 6634-6639 - 2020
- [c21]Kenta Hoshino:
Finite-Horizon Control of Nonlinear Discrete-Time Systems with Terminal Cost of Wasserstein Distance. CDC 2020: 4268-4274
2010 – 2019
- 2019
- [j2]Kenta Hoshino, Yûki Nishimura, Yuh Yamashita:
Convergence rates of stochastic homogeneous systems. Syst. Control. Lett. 124: 33-39 (2019) - [c20]Kenta Hoshino:
On Stability Analysis of Non-Smooth Systems with Density Functions. ASCC 2019: 1265-1270 - [c19]Kenta Hoshino:
A Characterization of Finite-Time Stability With Density Functions. ECC 2019: 2608-2613 - [c18]Sora Nishigaki, Kenta Hoshino, Jun Yoneyama:
Coverage Control in Moving Regions with Unmanned Aerial Vehicles. SII 2019: 301-306 - 2018
- [c17]Kenta Hoshino:
Application of Finite-Time Stabilization to Position Control of Quadcopters. ICARCV 2018: 60-65 - [c16]Jun Yoneyama, Yuto Takenaka, Kenta Hoshino:
New Observer Design Conditions for Takagi-Sugeno Fuzzy Systems. SMC 2018: 2947-2952 - 2017
- [c15]Yûki Nishimura, Kenta Hoshino:
A non-smooth stochastic Lyapunov function and its relationship with viscosity solutions. ASCC 2017: 699-704 - [c14]Kenta Hoshino, Yûki Nishimura:
Finite-time stability of state-dependent homogeneous systems. ASCC 2017: 841-846 - 2016
- [j1]Kenta Hoshino, Yûki Nishimura, Yuh Yamashita, Daisuke Tsubakino:
Global Asymptotic Stabilization of Nonlinear Deterministic Systems Using Wiener Processes. IEEE Trans. Autom. Control. 61(8): 2318-2323 (2016) - [c13]Fumihiro Sano, Kenta Hoshino, Jun Yoneyama:
Output feedback stabilization of discrete-time fuzzy systems. FUZZ-IEEE 2016: 2188-2192 - [c12]Jun Yoneyama, Kenta Hoshino:
A novel non-fragile output feedback controller design for uncertain Takagi-Sugeno fuzzy systems. FUZZ-IEEE 2016: 2193-2198 - [c11]Jun Yoneyama, Kenta Hoshino:
A new approach to non-fragile output feedback controller design for uncertain Takagi-Sugeno fuzzy systems. SMC 2016: 4798-4803 - 2015
- [c10]Kenta Hoshino, Yûki Nishimura, Yuh Yamashita, Jun Yoneyama:
Stabilization of Artstein's circle by continuous stochastic feedback. CCA 2015: 257-262 - [c9]Jun Yoneyama, Kenta Hoshino:
Non-fragile static output feedback control design with guaranteed cost of uncertain Takagi-Sugeno fuzzy systems. ASCC 2015: 1-6 - [c8]Jun Yoneyama, Masaki Omura, Kenta Hoshino:
Non-fragile static output feedback control design with guaranteed cost of uncertain systems with application to helicopter system. IECON 2015: 3143-3147 - 2014
- [c7]Kenta Hoshino, Yuh Yamashita, Yûki Nishimura, Daisuke Tsubakino:
Homogeneous stabilization of driftless input-affine systems using Wiener processes. CDC 2014: 3167-3172 - [c6]Jun Yoneyama, Kenta Hoshino:
Static output feedback control design with guaranteed cost of Takagi-Sugeno fuzzy systems. ISDA 2014: 39-43 - [c5]Jun Yoneyama, Kenta Hoshino:
Output feedback control design with guaranteed cost of Takagi-Sugeno fuzzy systems. SCIS&ISIS 2014: 1170-1174 - 2013
- [c4]Kenta Hoshino, Yûki Nishimura, Yuh Yamashita, Daisuke Tsubakino:
Constructive design method of stochastic continuous feedback laws for stabilization of deterministic nonlinear systems. ACC 2013: 6424-6429 - [c3]Kenta Hoshino, Yuh Yamashita, Yûki Nishimura, Daisuke Tsubakino:
Stability and stabilization of homogeneous stochastic systems. CDC 2013: 1229-1234 - 2010
- [c2]Kenta Hoshino, Hajime Igarashi:
A genetic algorithm for combinational optimization problems with uncertainties. CACSD 2010: 368-373 - [c1]Kenta Hoshino, Hajime Igarashi:
An image recognition based on neural oscillator network. IJCNN 2010: 1-6
Coauthor Index
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