Adaptive dynamic programming for control: A survey and recent advances
This article reviews the recent development of adaptive dynamic programming (ADP) with
applications in control. First, its applications in optimal regulation are introduced, and some …
applications in control. First, its applications in optimal regulation are introduced, and some …
Event-triggered decentralized tracking control of modular reconfigurable robots through adaptive dynamic programming
B Zhao, D Liu - IEEE Transactions on Industrial Electronics, 2019 - ieeexplore.ieee.org
This paper develops an event-triggered decentralized tracking control (DTC) approach for
modular reconfigurable robots (MRRs) by using adaptive dynamic programming. By …
modular reconfigurable robots (MRRs) by using adaptive dynamic programming. By …
Output-feedback robust tracking control of uncertain systems via adaptive learning
This paper presents an adaptive learning method to achieve the output-feedback robust
tracking control of systems with uncertain dynamics, which uses the techniques developed …
tracking control of systems with uncertain dynamics, which uses the techniques developed …
Event-triggered ADP for tracking control of partially unknown constrained uncertain systems
An event-triggered adaptive dynamic programming (ADP) algorithm is developed in this
article to solve the tracking control problem for partially unknown constrained uncertain …
article to solve the tracking control problem for partially unknown constrained uncertain …
Adaptive dynamic programming-based cooperative motion/force control for modular reconfigurable manipulators: A joint task assignment approach
B Zhao, Y Zhang, D Liu - IEEE Transactions on Neural …, 2022 - ieeexplore.ieee.org
This article develops a cooperative motion/force control (CMFC) scheme based on adaptive
dynamic programming (ADP) for modular reconfigurable manipulators (MRMs) with the joint …
dynamic programming (ADP) for modular reconfigurable manipulators (MRMs) with the joint …
Adaptive optimal motion control of uncertain underactuated mechatronic systems with actuator constraints
Underactuated mechatronic systems are widely used in industrial production, where the
control efforts and operation accuracy are both important aspects of performance …
control efforts and operation accuracy are both important aspects of performance …
Sliding-mode surface-based approximate optimal control for uncertain nonlinear systems with asymptotically stable critic structure
This article develops a novel sliding-mode surface (SMS)-based approximate optimal
control scheme for a large class of nonlinear systems affected by unknown mismatched …
control scheme for a large class of nonlinear systems affected by unknown mismatched …
Zero-sum game-based neuro-optimal control of modular robot manipulators with uncertain disturbance using critic only policy iteration
B Dong, T An, X Zhu, Y Li, K Liu - Neurocomputing, 2021 - Elsevier
In this paper, a zero-sum differential game strategy-based neuro-optimal control method is
presented via critic only policy iteration-adaptive dynamic programming (COPI-ADP) …
presented via critic only policy iteration-adaptive dynamic programming (COPI-ADP) …
Model-free event-triggered optimal consensus control of multiple Euler-Lagrange systems via reinforcement learning
This paper develops a model-free approach to solve the event-triggered optimal consensus
of multiple Euler-Lagrange systems (MELSs) via reinforcement learning (RL). Firstly, an …
of multiple Euler-Lagrange systems (MELSs) via reinforcement learning (RL). Firstly, an …
Particle swarm optimized neural networks based local tracking control scheme of unknown nonlinear interconnected systems
In this paper, a local tracking control (LTC) scheme is developed via particle swarm
optimized neural networks (PSONN) for unknown nonlinear interconnected systems. With …
optimized neural networks (PSONN) for unknown nonlinear interconnected systems. With …