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Dynamic event-triggered control for discrete-time nonlinear Markov jump systems using policy iteration-based adaptive dynamic programming
F Tang, H Wang, XH Chang, L Zhang… - Nonlinear Analysis: Hybrid …, 2023 - Elsevier
This paper investigates a dynamic event-triggered optimal control problem of discrete-time
(DT) nonlinear Markov jump systems (MJSs) via exploring policy iteration (PI) adaptive …
(DT) nonlinear Markov jump systems (MJSs) via exploring policy iteration (PI) adaptive …
Adaptive neural self-triggered bipartite fault-tolerant control for nonlinear MASs with dead-zone constraints
An adaptive neural bipartite tracking control approach is proposed for nonlinear multi-agent
systems in this article. In contrast to previous results, it is worth noting that this paper …
systems in this article. In contrast to previous results, it is worth noting that this paper …
Observer‐based adaptive fuzzy hierarchical sliding mode control of uncertain under‐actuated switched nonlinear systems with input quantization
In this article, an observer‐based adaptive fuzzy hierarchical sliding mode control (HSMC)
scheme is put forward for uncertain under‐actuated switched nonlinear systems in the …
scheme is put forward for uncertain under‐actuated switched nonlinear systems in the …
Event‐triggered adaptive tracking control for uncertain fractional‐order nonstrict‐feedback nonlinear systems via command filtering
This article puts forward an event‐triggered adaptive neural tracking control strategy for a
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …
class of uncertain fractional‐order nonstrict‐feedback nonlinear systems with full‐state …
Event-triggered adaptive decentralised control of interconnected nonlinear systems with Bouc-Wen hysteresis input
This article presents an event-based adaptive decentralised output feedback control scheme
for interconnected systems with Bouc-Wen hysteresis and unmeasured system states. To …
for interconnected systems with Bouc-Wen hysteresis and unmeasured system states. To …
Data-driven-based event-triggered optimal control of unknown nonlinear systems with input constraints
This paper is concerned with event-triggered control problem for unknown nonlinear
systems with input constraints. By introducing a nominal system and a discounted cost …
systems with input constraints. By introducing a nominal system and a discounted cost …
Adaptive neural self-triggered bipartite secure control for nonlinear MASs subject to DoS attacks
This paper studies the bipartite secure control design problem for nonlinear multi-agent
systems (MASs) subject to denial-of-service (DoS) attacks over a signed digraph. By …
systems (MASs) subject to denial-of-service (DoS) attacks over a signed digraph. By …
Event-based adaptive neural network control for large-scale systems with nonconstant control gains and unknown measurement sensitivity
L Cao, Y Pan, H Liang, CK Ahn - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This study explored the issue of decentralized adaptive event-triggered neural network (NN)
control for nonlinear interconnected large-scale systems (LSSs) subjected to unknown …
control for nonlinear interconnected large-scale systems (LSSs) subjected to unknown …
Adaptive neural finite-time hierarchical sliding mode control of uncertain under-actuated switched nonlinear systems with backlash-like hysteresis
This article investigates an adaptive finite-time tracking control for under-actuated nonlinear
systems with unknown backlash-like hysteresis and arbitrary switchings. A hierarchical …
systems with unknown backlash-like hysteresis and arbitrary switchings. A hierarchical …
Adaptive fixed-time hierarchical sliding mode control for switched under-actuated systems with dead-zone constraints via event-triggered strategy
This article investigates the event-triggered-based adaptive fixed-time control problem for
switched under-actuated nonlinear systems subject to dead-zone constraints. To improve …
switched under-actuated nonlinear systems subject to dead-zone constraints. To improve …