Fully distributed coordination learning control of second‐order nonlinear multi‐agent systems with input saturation
Sign Up to like & getrecommendations! Published in 2020 at "Asian Journal of Control"
DOI: 10.1002/asjc.2330
Abstract: This paper develops the coordination learning control of second‐order non‐linear multi‐agent systems with input saturation. Fully distributed learning consensus protocols with fully saturated parameter adaptive updating laws are designed. Although there exists input saturation in… read more here.
Keywords: control second; agent; learning control; coordination learning ... See more keywords
Consciousness‐driven reinforcement learning: An online learning control framework
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22647
Abstract: As a powerful tool for solving nonlinear complex system control problems, the model‐free reinforcement learning hardly guarantees system stability in the early stage of learning, especially with high complicity learning components applied. In this paper,… read more here.
Keywords: framework; control; online learning; reinforcement learning ... See more keywords
Robust learning control for nonlinear systems with nonparametric uncertainties and nonuniform trial lengths
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4437
Abstract: Funding information National Natural Science Foundation of China, Grant/Award Number: 61673045 and 61304085; Beijing Natural Science Foundation, Grant/Award Number: 4152040 Summary This paper proposes robust iterative learning control schemes for continuous-time nonlinear systems with various… read more here.
Keywords: nonlinear systems; nonparametric uncertainties; nonuniform trial; learning control ... See more keywords
Iterative learning control for nonlinear differential inclusion systems
Sign Up to like & getrecommendations! Published in 2020 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4920
Abstract: In this paper, we propose an iterative learning control strategy to track a desired trajectory for a class of uncertain systems governed by nonlinear differential inclusions. By imposing Lipschitz continuous condition on a set‐valued mapping… read more here.
Keywords: control nonlinear; differential inclusion; nonlinear differential; iterative learning ... See more keywords
Output feedback based PD‐type robust iterative learning control for uncertain spatially interconnected systems
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.5584
Abstract: Spatially interconnected systems (SISs) are formed by a chain of subsystems or units with the same or similar structure, all of which directly interact with their neighbors. For robust tracking of SISs subject to both… read more here.
Keywords: interconnected systems; spatially interconnected; iterative learning; learning control ... See more keywords
Iterative Learning Control for Hilfer‐Type Fractional Stochastic Differential Systems: A Simulation Study for Robotic Applications
Sign Up to like & getrecommendations! Published in 2025 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.70293
Abstract: This paper investigates iterative learning control for stochastic differential systems of fractional order in the Hilfer sense. Unlike existing studies that treat either fractional dynamics or stochastic effects separately, we develop an integrated framework that… read more here.
Keywords: control; differential systems; stochastic differential; learning control ... See more keywords
Data‐based nonlinear learning control for aircraft trajectory tracking via Gaussian process regression
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7526
Abstract: In this article, a new data‐based iterative learning control (ILC) algorithm is proposed via Gaussian process regression (GPR) to accomplish the trajectory tracking objective of aircraft subject to completely unknown dynamics and strong nonlinearities. The… read more here.
Keywords: aircraft; gaussian process; learning control; via gaussian ... See more keywords
Event‐Triggered Model‐Free Neuroadaptive Iterative Learning Control via Controller Dynamic Linearization and Application to Impact Load Frequency Regulation
Sign Up to like & getrecommendations! Published in 2024 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.7795
Abstract: This paper investigates the problem of energy‐efficient learning control for unknown repetitive nonlinear discrete‐time systems. Traditional event‐triggered model‐free iterative learning control (ILC) relies on data‐based approximation models to construct the controller optimization criterion, which is… read more here.
Keywords: model free; event triggered; control; triggered model ... See more keywords
Design of an Iterative Learning Control Law for a Class of Switched Repetitive Systems
Sign Up to like & getrecommendations! Published in 2017 at "Circuits, Systems, and Signal Processing"
DOI: 10.1007/s00034-016-0331-6
Abstract: This paper is concerned with the design of an iterative learning control (ILC) law, which is developed to improve the tracking performance of a class of switched repetitive systems with time-varying delay. Firstly, the ILC… read more here.
Keywords: switched repetitive; class switched; design iterative; iterative learning ... See more keywords
Distributed iterative learning control for multi-agent systems
Sign Up to like & getrecommendations! Published in 2019 at "Autonomous Robots"
DOI: 10.1007/s10514-019-09845-4
Abstract: The goal of this work is to enable a team of quadrotors to learn how to accurately track a desired trajectory while holding a given formation. We solve this problem in a distributed manner, where… read more here.
Keywords: learning control; multi agent; learning; iterative learning ... See more keywords
OPTCON3: An Active Learning Control Algorithm for Nonlinear Quadratic Stochastic Problems
Sign Up to like & getrecommendations! Published in 2020 at "Computational Economics"
DOI: 10.1007/s10614-019-09949-0
Abstract: In this paper, we describe the new OPTCON3 algorithm, which serves to determine approximately optimal policies for stochastic control problems with a quadratic objective function and nonlinear dynamic models. It includes active learning and the… read more here.
Keywords: active learning; control; optimal policies; optcon3 algorithm ... See more keywords