Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control
Sign Up to like & getrecommendations! Published in 2018 at "Asian Journal of Control"
DOI: 10.1002/asjc.1569
Abstract: Computational complexity and model dependence are two significant limitations on lifted norm optimal iterative learning control (NOILC). To overcome these two issues and retain monotonic convergence in iteration, this paper proposes a computationally-efficient non-lifted NOILC… read more here.
Keywords: non lifted; optimal iterative; norm optimal; control ... See more keywords
Observer-based fault estimators using iterative learning scheme for nonlinear time-delay systems with intermittent faults
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DOI: 10.1002/rnc.3747
Abstract: Summary This paper deals with the intermittent fault estimation problem for a class of nonlinear time-delay systems with measurement noise. The time delays are assumed to occur in state vector, nonlinear term as well as… read more here.
Keywords: fault; time; iterative learning; nonlinear time ... See more keywords
Data‐based iterative learning mechanism for unknown input‐output coupling parameters/matrices
Sign Up to like & getrecommendations! Published in 2019 at "International Journal of Robust and Nonlinear Control"
DOI: 10.1002/rnc.4827
Abstract: In this paper, we explore how to get the information of input‐output coupling parameters (IOCPs) for a class of uncertain discrete‐time systems by using iterative learning technique. Firstly, by taking advantage of repetitiveness of control… read more here.
Keywords: learning scheme; learning; iterative learning; input output ... 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
Robust trajectory optimization under frictional contact with iterative learning
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DOI: 10.1007/s10514-017-9629-x
Abstract: Optimization is often difficult to apply to robots due to the presence of errors in model parameters, which can cause constraints to be violated during execution on the robot. This paper presents a method to… read more here.
Keywords: iterative learning; optimization; robust trajectory; frictional contact ... See more keywords
Distributed iterative learning control for multi-agent systems
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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
On iterative learning control for MIMO nonlinear systems in the presence of time-iteration-varying parameters
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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
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
Decentralized iterative learning control for large-scale interconnected linear systems with fixed initial shifts
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DOI: 10.1007/s12555-016-0235-z
Abstract: This paper deals with the problem of iterative learning control for large-scale interconnected linear systems in the presence of fixed initial shifts. According to the characteristics of the systems, iterative learning control laws are proposed… read more here.
Keywords: large scale; scale interconnected; control; interconnected linear ... See more keywords