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Akademický článek

Event-Triggered Safe Control for the Zero-Sum Game of Nonlinear Safety-Critical Systems With Input Saturation

Autor: Chunbin Qin, Heyang Zhu, Jinguang Wang, Qiyang Xiao, Dehua Zhang

Publikováno v: IEEE Access, Vol 10, Pp 40324-40337 (2022)

In this paper, a novel adaptive dynamic programming (ADP)-based event-triggered safe control method is proposed to solve the zero-sum game problem of nonlinear safety-critical systems with safety constraints and input saturation. First, the barrier f

Externí odkaz: https://doaj.org/article/cc846e4225ef4e2e84e1d5693fcdda31

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Akademický článek

Integral Reinforcement Learning for Tracking in a Class of Partially Unknown Linear Systems With Output Constraints and External Disturbances

Autor: Chunbin Qin, Jinguang Wang, Xiaopeng Qiao, Heyang Zhu, Dehua Zhang, Yonghang Yan

Publikováno v: IEEE Access, Vol 10, Pp 55270-55278 (2022)

In this paper, the $H_\infty $ tracking control problem of partially unknown linear systems with output constraints and disturbance is studied by the reinforcement learning (RL) method. Firstly, an augmented system is established based on the referen

Externí odkaz: https://doaj.org/article/b5bd4dbe47f841499bcea3443c52af6b

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Akademický článek

Constrained Optimal Control for Nonlinear Multi-Input Safety-Critical Systems with Time-Varying Safety Constraints

Autor: Jinguang Wang, Chunbin Qin, Xiaopeng Qiao, Dehua Zhang, Zhongwei Zhang, Ziyang Shang, Heyang Zhu

Publikováno v: Mathematics, Vol 10, Iss 15, p 2744 (2022)

In this paper, we investigate the constrained optimal control problem of nonlinear multi-input safety-critical systems with uncertain disturbances and time-varying safety constraints. By utilizing a barrier function transformation, together with a ne

Externí odkaz: https://doaj.org/article/aca6d0877a484cad919dab1b0065cb3b

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