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Sliding-mode surface-based adaptive optimal nonzero-sum games for saturated nonlinear multi-player systems with identifier-critic networks
S Liu, H Wang, Y Liu, N Xu, X Zhao - Neurocomputing, 2024 - Elsevier
This paper addresses the sliding-mode surface-based adaptive optimal nonzero-sum
games control problem for continuous-time nonlinear systems with input constraints. By …
games control problem for continuous-time nonlinear systems with input constraints. By …
Reinforcement learning-based decentralized fault tolerant control for constrained interconnected nonlinear systems
This paper addresses the decentralized fault tolerant control problem for interconnected
nonlinear systems under a reinforcement learning strategy. The system under consideration …
nonlinear systems under a reinforcement learning strategy. The system under consideration …
Event-Based Distributed Finite-Horizon Consensus Control for Constrained Nonlinear Multiagent Systems
Y Zhao, H Liang, G Zong, H Wang - IEEE Systems Journal, 2023 - ieeexplore.ieee.org
This article presents an event-triggered adaptive dynamic programming (ETADP) algorithm
to address the distributed finite-horizon consensus problem of nonlinear homogeneous …
to address the distributed finite-horizon consensus problem of nonlinear homogeneous …
Observer-based consensus control for MASs with prescribed constraints via reinforcement learning algorithm
A Luo, Q Zhou, H Ma, H Li - IEEE Transactions on Neural …, 2023 - ieeexplore.ieee.org
In this article, an adaptive optimal consensus control problem is studied for multiagent
systems (MASs) with external disturbances, unmeasurable states, and prescribed …
systems (MASs) with external disturbances, unmeasurable states, and prescribed …
Continuous-time distributed policy iteration for multicontroller nonlinear systems
In this article, a novel distributed policy iteration algorithm is established for infinite horizon
optimal control problems of continuous-time nonlinear systems. In each iteration of the …
optimal control problems of continuous-time nonlinear systems. In each iteration of the …
Neural-network-based control for discrete-time nonlinear systems with input saturation under stochastic communication protocol
In this paper, an adaptive dynamic programming (ADP) strategy is investigated for discrete-
time nonlinear systems with unknown nonlinear dynamics subject to input saturation. To …
time nonlinear systems with unknown nonlinear dynamics subject to input saturation. To …
Output-feedback based simplified optimized backstep** control for strict-feedback systems with input and state constraints
J Zhang, K Li, Y Li - IEEE/CAA Journal of Automatica Sinica, 2021 - ieeexplore.ieee.org
In this paper, an adaptive neural-network (NN) output feedback optimal control problem is
studied for a class of strict-feedback nonlinear systems with unknown internal dynamics …
studied for a class of strict-feedback nonlinear systems with unknown internal dynamics …
Optimal synchronization control of heterogeneous asymmetric input-constrained unknown nonlinear MASs via reinforcement learning
The asymmetric input-constrained optimal synchronization problem of heterogeneous
unknown nonlinear multiagent systems (MASs) is considered in the paper. Intuitively, a state …
unknown nonlinear multiagent systems (MASs) is considered in the paper. Intuitively, a state …
Adaptive critic design for nonlinear multi-player zero-sum games with unknown dynamics and control constraints
Y Huo, D Wang, J Qiao, M Li - Nonlinear Dynamics, 2023 - Springer
In this paper, a novel optimal control scheme is established to solve the multi-player zero-
sum game (ZSG) issue of continuous-time nonlinear systems with control constraints and …
sum game (ZSG) issue of continuous-time nonlinear systems with control constraints and …
Event-triggered integral reinforcement learning for nonzero-sum games with asymmetric input saturation
In this paper, an event-triggered integral reinforcement learning (IRL) algorithm is developed
for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a …
for the nonzero-sum game problem with asymmetric input saturation. First, for each player, a …