Articles with "unknown nonlinear" as a keyword



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Supervisory switching‐based prescribed performance control of unknown nonlinear systems against actuator failures

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Published in 2020 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.4878

Abstract: This article studies the fault‐tolerant control problem for unknown nonlinear strict‐feedback systems subject to actuator failures yet with dynamic redundancies. The prescribed performance control methodology is newly combined with a modification‐based supervisory switching strategy to… read more here.

Keywords: actuator; actuator failures; prescribed performance; unknown nonlinear ... See more keywords
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A novel LS-SVM control for unknown nonlinear systems with application to complex forging process

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Published in 2017 at "Journal of Central South University"

DOI: 10.1007/s11771-017-3665-8

Abstract: A novel LS-SVM control method is proposed for general unknown nonlinear systems. A linear kernel LS-SVM model is firstly developed for input/output (I/O) approximation. The LS-SVM control law is then derived directly from this developed… read more here.

Keywords: control; svm control; novel svm; unknown nonlinear ... See more keywords
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State observation of unknown nonlinear SISO systems based on virtual input estimation

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Published in 2021 at "International Journal of Control"

DOI: 10.1080/00207179.2019.1680869

Abstract: This paper introduces a generic procedure for the state estimation of unknown nonlinear SISO systems, i.e. when no information is available on their structure, possibly time-varying parameters and potential disturbances. This procedure relies on the… read more here.

Keywords: state; estimation; siso systems; unknown nonlinear ... See more keywords
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Approximate Reachability for Koopman Systems Using Mixed Monotonicity

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3194851

Abstract: We present a data-driven method for computing reachable sets for unknown nonlinear dynamical systems using a Koopman operator based approach. We find mixed-monotone decompositions for a class of Koopman lifted dynamics. The mixed-monotone system can… read more here.

Keywords: koopman; approximate reachability; unknown nonlinear; reachability koopman ... See more keywords
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Optimal Synchronization Control of Heterogeneous Asymmetric Input-Constrained Unknown Nonlinear MASs via Reinforcement Learning

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Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"

DOI: 10.1109/jas.2021.1004359

Abstract: The asymmetric input-constrained optimal synchronization problem of heterogeneous unknown nonlinear multiagent systems (MASs) is considered in the paper. Intuitively, a state-space transformation is performed such that satisfaction of symmetric input constraints for the transformed system… read more here.

Keywords: input; optimal synchronization; input constrained; reinforcement learning ... See more keywords
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On-the-Fly Control of Unknown Nonlinear Systems With Sublinear Regret

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Published in 2022 at "IEEE Transactions on Automatic Control"

DOI: 10.1109/tac.2022.3186425

Abstract: We study the problem of data-driven, constrained control of unknown nonlinear dynamics from a single ongoing and finite-horizon trajectory. We consider a one-step optimal control problem with a smooth, black-box objective, typically a composition of… read more here.

Keywords: fly control; control unknown; step; unknown nonlinear ... See more keywords
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ADP-Based Remote Secure Control for Networked Control Systems Under Unknown Nonlinear Attacks in Sensors and Actuators

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Published in 2022 at "IEEE Transactions on Industrial Informatics"

DOI: 10.1109/tii.2021.3137816

Abstract: In this article, we concentrate on a class of networked control systems (NCSs) under the unknown nonlinear attacks, which target the sensors and actuators with remote communication channels. To attenuate the attacks remotely, the remote… read more here.

Keywords: secure control; unknown nonlinear; sensors actuators; control ... See more keywords
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Reinforcement Learning-Based Optimal Stabilization for Unknown Nonlinear Systems Subject to Inputs With Uncertain Constraints

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Published in 2020 at "IEEE Transactions on Neural Networks and Learning Systems"

DOI: 10.1109/tnnls.2019.2954983

Abstract: This article presents a novel reinforcement learning strategy that addresses an optimal stabilizing problem for unknown nonlinear systems subject to uncertain input constraints. The control algorithm is composed of two parts, i.e., online learning optimal… read more here.

Keywords: input constraints; input; reinforcement learning; systems subject ... See more keywords
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Distributed adaptive model-free cooperative control for a network of generic unknown nonlinear systems

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Published in 2018 at "International Journal of Advanced Robotic Systems"

DOI: 10.1177/1729881418801481

Abstract: In this article, a distributed model-free consensus control is proposed for a network of nonlinear agents with unknown nonlinear dynamics, unknown process disturbances, and white noise measurement disturbances. Here, the purpose of the control protocol… read more here.

Keywords: network; control; unknown nonlinear; nonlinear systems ... See more keywords