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
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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
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
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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
On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters
Sign Up to like & getrecommendations! Published in 2017 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-017-3604-0
Abstract: In this study, the problem of adaptive iterative learning control (AILC) is considered for a class of multiple-input-multiple-output discrete-time nonlinear systems where the initial condition and reference trajectory could be randomly varying in the iteration… read more here.
Keywords: time; iteration varying; iterative learning; nonlinear systems ... See more keywords
Cooperative deterministic learning control for a group of homogeneous nonlinear uncertain robot manipulators
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DOI: 10.1007/s11432-017-9363-y
Abstract: This paper addresses the learning control problem for a group of robot manipulators with homogeneous nonlinear uncertain dynamics, where all the robots have an identical system structure but the reference signals to be tracked differ.… read more here.
Keywords: control; nonlinear uncertain; homogeneous nonlinear; robot manipulators ... See more keywords
Analysis of iterative learning control for a class of fractional differential equations
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Applied Mathematics and Computing"
DOI: 10.1007/s12190-015-0955-x
Abstract: In this paper, we discuss PD-type learning control law for linear differential equations of fractional order $$\alpha \in (1,2)$$α∈(1,2). We derive convergence results for open-loop and closed-loop iterative learning schemes with zero initial error and… read more here.
Keywords: control class; analysis iterative; differential equations; iterative learning ... See more keywords