Computationally-Light Non-Lifted Data-Driven Norm-Optimal Iterative Learning Control
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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
Second‐order PDα$$ {}^{\alpha } $$‐type iterative learning control for fractional‐order linear time‐delay switched systems with noise
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DOI: 10.1002/asjc.3674
Abstract: The purpose of the paper is to introduce a novel second‐order PD ‐type fractional‐order iterative learning control algorithm for a broad class of fractional‐order linear continuous‐time switched systems with time delay. The convergence of the… read more here.
Keywords: fractional order; control; type; iterative learning ... See more keywords
Iterative learning nonzero‐sum game control for incomplete‐information pursuit‐evasion system with uncertainty
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DOI: 10.1002/asjc.3783
Abstract: In this article, an iterative learning nonzero‐sum game (NSG) control approach is investigated for incomplete‐information pursuit‐evasion (PE) systems subject to uncertainty. Due to the non‐shared quality of the cost functions, the NSG frame is established… read more here.
Keywords: information; system; control; game ... 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
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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 Adaptive Control With Completely Unknown States
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DOI: 10.1002/rnc.70217
Abstract: This paper is dedicated to iterative learning control for nonlinear systems with completely unknown states and time‐iteration‐varying parameter uncertainties. The unknown states cover unknown iteration‐varying initial states and system operational states. The uncertainties are converted… read more here.
Keywords: control; completely unknown; unknown states; iteration varying ... See more keywords
Iterative Learning Control for Hilfer‐Type Fractional Stochastic Differential Systems: A Simulation Study for Robotic Applications
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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
Improved Iterative Learning Model Predictive Control for Nonlinear Batch Processes
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DOI: 10.1002/rnc.7783
Abstract: This paper once again focuses on the research of iterative learning model predictive control (ILMPC) in batch processes, which aims to ensure that the system has fast convergence speed and good non‐repetitive disturbance suppression ability.… read more here.
Keywords: model predictive; control; learning model; model ... See more keywords
Observer‐Based Model‐Free Iterative Learning for Fault‐Tolerant Control of Nonlinear Systems
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DOI: 10.1002/rnc.7995
Abstract: This paper proposes an observer‐based model‐free iterative learning fault tolerant control (ObMFilFTC) algorithm for the nonlinear system with disturbances and non‐repetitive time‐varying actuator faults. First, an original linearization data model (LDM) considering non‐repetitive uncertainties is… read more here.
Keywords: non repetitive; repetitive uncertainties; control; observer based ... See more keywords