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Asynchronous fault detection observer for 2-D Markov jump systems
In this article, the problem of the asynchronous fault detection (FD) observer design is
discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. In general …
discussed for 2-D Markov jump systems (MJSs) expressed by a Roesser model. In general …
Finite-time control of discrete-time semi-Markov jump linear systems: A self-triggered MPC approach
In this paper, a self-triggered model predictive control (MPC) strategy is developed for
discrete-time semi-Markov jump linear systems to achieve a desired finite-time performance …
discrete-time semi-Markov jump linear systems to achieve a desired finite-time performance …
Dissipativity-based finite-time asynchronous output feedback control for wind turbine system via a hidden Markov model
This paper concerns the issue of finite-time dissipative asynchronous output feedback
control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to …
control for a wind turbine system that can be modelled as Markov jump Lur'e systems. Due to …
Fuzzy H∞ Control of Discrete-Time Nonlinear Markov Jump Systems via a Novel Hybrid Reinforcement Q-Learning Method
In this article, a novel hybrid reinforcement-learning control method is proposed to solve the
adaptive fuzzy control problem of discrete-time nonlinear Markov jump systems based on …
adaptive fuzzy control problem of discrete-time nonlinear Markov jump systems based on …
A fuzzy-model-based approach to optimal control for nonlinear Markov jump singularly perturbed systems: A novel integral reinforcement learning scheme
A fuzzy-model-based approach is developed to investigate the reinforcement learning-
based optimization for nonlinear Markov jump singularly perturbed systems. As the first …
based optimization for nonlinear Markov jump singularly perturbed systems. As the first …
Safe deep reinforcement learning-based adaptive control for USV interception mission
This paper aims to develop a safe learning scheme of the USV interception mission. A safe
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Lyapunov boundary deep deterministic policy gradient (SLDDPG) algorithm is presented for …
Quantized guaranteed cost output feedback control for nonlinear networked control systems and its applications
Q Zheng, S Xu, B Du - IEEE Transactions on Fuzzy Systems, 2021 - ieeexplore.ieee.org
The quantized guaranteed cost static output feedback control problem is investigated for a
class of discrete-time nonlinear networked control systems in this article. In this article, the …
class of discrete-time nonlinear networked control systems in this article. In this article, the …
Output reachable set synthesis of event-triggered control for singular Markov jump systems under multiple cyber-attacks
This paper investigates the asynchronous event-triggered state-feedback control for discrete-
time nonlinear singular Markov jump systems subject to reachable set bounding and …
time nonlinear singular Markov jump systems subject to reachable set bounding and …