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 …
Robust actor–critic learning for continuous-time nonlinear systems with unmodeled dynamics
This article considers the robust optimal control problem for a class of nonlinear systems in
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …
the presence of unmodeled dynamics. An adaptive optimal controller is designed using the …
Optimal consensus control design for multiagent systems with multiple time delay using adaptive dynamic programming
H Zhang, H Ren, Y Mu, J Han - IEEE transactions on …, 2021 - ieeexplore.ieee.org
In this article, a novel data-based adaptive dynamic programming (ADP) method is
presented to solve the optimal consensus tracking control problem for discrete-time (DT) …
presented to solve the optimal consensus tracking control problem for discrete-time (DT) …
Robust formation control for cooperative underactuated quadrotors via reinforcement learning
In this article, the model-free robust formation control problem is addressed for cooperative
underactuated quadrotors involving unknown nonlinear dynamics and disturbances. Based …
underactuated quadrotors involving unknown nonlinear dynamics and disturbances. Based …
Hybrid online learning control in networked multiagent systems: A survey
This survey paper studies deterministic control systems that integrate three of the most active
research areas during the last years:(1) online learning control systems,(2) distributed …
research areas during the last years:(1) online learning control systems,(2) distributed …
Robust optimal control scheme for unknown constrained-input nonlinear systems via a plug-n-play event-sampled critic-only algorithm
In this paper, a novel event-sampled robust optimal controller is proposed for a class of
continuous-time constrained-input nonlinear systems with unknown dynamics. In order to …
continuous-time constrained-input nonlinear systems with unknown dynamics. In order to …
Off-policy Q-learning: Solving Nash equilibrium of multi-player games with network-induced delay and unmeasured state
J Li, Z **ao, J Fan, T Chai, FL Lewis - Automatica, 2022 - Elsevier
In the framework of adaptive dynamic programming combined with Q-learning, this paper
investigates networked multi-player games, in which the common state of the plant is …
investigates networked multi-player games, in which the common state of the plant is …
Data-based optimal control of multiagent systems: A reinforcement learning design approach
This paper studies an optimal consensus tracking problem of heterogeneous linear
multiagent systems. By introducing tracking error dynamics, the optimal tracking problem is …
multiagent systems. By introducing tracking error dynamics, the optimal tracking problem is …
Discrete-time nonzero-sum games for multiplayer using policy-iteration-based adaptive dynamic programming algorithms
In this paper, we investigate the nonzero-sum games for a class of discrete-time (DT)
nonlinear systems by using a novel policy iteration (PI) adaptive dynamic programming …
nonlinear systems by using a novel policy iteration (PI) adaptive dynamic programming …
Resilient event-triggered control strategies for second-order consensus
This article investigates the second-order consensus issue for multiagent systems subject to
both limited communication resources and replay attacks. First, an asynchronous dynamic …
both limited communication resources and replay attacks. First, an asynchronous dynamic …