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 …
Recent progress in reinforcement learning and adaptive dynamic programming for advanced control applications
D Wang, N Gao, D Liu, J Li… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Reinforcement learning (RL) has roots in dynamic programming and it is called
adaptive/approximate dynamic programming (ADP) within the control community. This paper …
adaptive/approximate dynamic programming (ADP) within the control community. This paper …
Discounted iterative adaptive critic designs with novel stability analysis for tracking control
The core task of tracking control is to make the controlled plant track a desired trajectory. The
traditional performance index used in previous studies cannot eliminate completely the …
traditional performance index used in previous studies cannot eliminate completely the …
Fault-tolerant control of a hydraulic servo actuator via adaptive dynamic programming
V Stojanović - Mathematical Modelling and Control, 2023 - scidar.kg.ac.rs
The fault-tolerant control problem of a hydraulic servo actuator in the presence of actuator
faults is studied utilizing adaptive dynamic programming. This task is challenging because of …
faults is studied utilizing adaptive dynamic programming. This task is challenging because of …
Adaptive fuzzy inverse optimal control for uncertain strict-feedback nonlinear systems
Y Li, X Min, S Tong - IEEE Transactions on Fuzzy Systems, 2019 - ieeexplore.ieee.org
This article first investigates the adaptive fuzzy inverse optimal control design problem for a
class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to …
class of uncertain strict-feedback nonlinear systems. Fuzzy logic systems are utilized to …
Advanced value iteration for discrete-time intelligent critic control: A survey
Optimal control problems are ubiquitous in practical engineering applications and social life
with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive …
with the idea of cost or resource conservation. Based on the critic learning scheme, adaptive …
Adaptive multi-step evaluation design with stability guarantee for discrete-time optimal learning control
D Wang, J Wang, M Zhao, P **n… - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
This paper is concerned with a novel integrated multi-step heuristic dynamic programming
(MsHDP) algorithm for solving optimal control problems. It is shown that, initialized by the …
(MsHDP) algorithm for solving optimal control problems. It is shown that, initialized by the …
Parallel control for optimal tracking via adaptive dynamic programming
This paper studies the problem of optimal parallel tracking control for continuous-time
general nonlinear systems. Unlike existing optimal state feedback control, the control input …
general nonlinear systems. Unlike existing optimal state feedback control, the control input …
Adaptive controller design-based ABLF for a class of nonlinear time-varying state constraint systems
YJ Liu, S Lu, D Li, S Tong - IEEE Transactions on Systems …, 2016 - ieeexplore.ieee.org
In this paper, we address an adaptive control problem for a class of nonlinear strict-feedback
systems with uncertain parameter. The full states of the systems are constrained in the …
systems with uncertain parameter. The full states of the systems are constrained in the …
Leader-following consensus for a class of nonlinear multiagent systems under event-triggered and edge-event triggered mechanisms
Considering that there are many systems with limited network bandwidth in practice, this
article studies the leader-following consensus problem for a class of nonlinear multiagent …
article studies the leader-following consensus problem for a class of nonlinear multiagent …