Reinforcement learning based-adaptive tracking control for a class of semi-Markov non-Lipschitz uncertain system with unmatched disturbances

Learning and adaptive systems in artificial intelligence (68T05) Nonlinear systems in control theory (93C10) Adaptive control/observation systems (93C40) Stochastic systems in control theory (general) (93E03)

Cites Work

\(H_\infty\) finite-time control for switched nonlinear discrete-time systems with norm-bounded disturbance
Terminal iterative learning control for discrete-time nonlinear systems based on neural networks
On the approximations of solutions to neutral SDEs with Markovian switching and jumps under non-Lipschitz conditions
Adaptive state observer for Lipschitz nonlinear systems
\(\mathcal L_2\) gain performance for a class of Lipschitz uncertain nonlinear systems via variable gain robust output feedback controllers
Fuzzy adaptive event-triggered control for uncertain nonlinear system with prescribed performance: a combinational measurement approach
Hybrid adaptive control of nonlinear systems with non-Lipschitz nonlinearities
Stochastic stability and stabilization conditions of semi-Markovian jump systems with mode transition-dependent sojourn-time distributions
Finite-time stabilization of homogeneous non-Lipschitz systems
Global finite-time stabilization of a class of uncertain nonlinear systems
Integrated fault estimation and fault-tolerant control for uncertain Lipschitz nonlinear systems
Observer-Based Adaptive SMC for Nonlinear Uncertain Singular Semi-Markov Jump Systems With Applications to DC Motor
A new actuator fault‐tolerant control for Lipschitz nonlinear system using adaptive sliding mode control strategy

This page was built for publication: Reinforcement learning based-adaptive tracking control for a class of semi-Markov non-Lipschitz uncertain system with unmatched disturbances