Articles with "unknown control" as a keyword



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Adaptive neural network control for a nonlinear Euler‐Bernoulli beam in three‐dimensional space with unknown control direction

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Published in 2019 at "International Journal of Robust and Nonlinear Control"

DOI: 10.1002/rnc.4658

Abstract: In this paper, an adaptive neural network control system is developed for a nonlinear three‐dimensional Euler‐Bernoulli beam with unknown control direction. The Euler‐Bernoulli beam is modeled as a combination of partial differential equations (PDEs) and… read more here.

Keywords: control direction; euler bernoulli; unknown control; bernoulli beam ... See more keywords
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Sliding mode control for systems subjected to unmatched disturbances/unknown control direction and its application

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

DOI: 10.1002/rnc.5336

Abstract: This article investigates the control issue for systems subjected to unmatched disturbances and unknown control direction simultaneously. A class of adaptive nonlinear disturbance observer is developed to estimate the unmatched disturbances precisely and then extended… read more here.

Keywords: control direction; unknown control; unmatched disturbances; systems subjected ... See more keywords
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Adaptive event-triggered control for nonlinear multi-agent systems with unknown control directions and actuator failures

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Published in 2021 at "Nonlinear Dynamics"

DOI: 10.1007/s11071-021-06684-w

Abstract: This paper presents an event-triggered adaptive consensus algorithm to deal with the consensus problem for nonlinear multi-agent systems (MASs) with unknown control direction and actuator failures. The nonlinear dynamics and the disturbance considered in this… read more here.

Keywords: control; multi agent; agent systems; event triggered ... See more keywords
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NN-based output tracking for more general stochastic nonlinear systems with unknown control coefficients

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Published in 2017 at "International Journal of Automation and Computing"

DOI: 10.1007/s11633-015-0936-4

Abstract: This paper considers the output tracking problem for more general classes of stochastic nonlinear systems with unknown control coefficients and driven by noise of unknown covariance. By utilizing the radial basis function neural network approximation… read more here.

Keywords: stochastic nonlinear; control; unknown control; output tracking ... See more keywords
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Adaptive neural synchronization control of chaotic systems with unknown control directions under input saturation

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Published in 2017 at "Optik"

DOI: 10.1016/j.ijleo.2016.12.045

Abstract: Abstract In this paper, we investigate the synchronization problem of chaotic systems with unknown control direction under input saturation nonlinearity. By utilizing backstepping technique, an adaptive neural synchronization control scheme is developed via neural approximation… read more here.

Keywords: input saturation; control; unknown control; saturation ... See more keywords
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Observer-based adaptive prescribed performance tracking control for nonlinear systems with unknown control direction and input saturation

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.01.023

Abstract: Abstract In this paper, the problem of observer-based adaptive tracking control is investigated for a class of nonlinear systems with unknown control direction, input saturation and tracking error constraint. The Nussbaum function is employed to… read more here.

Keywords: control direction; control; tracking control; unknown control ... See more keywords
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Distributed consensus control for second-order nonlinear multi-agent systems with unknown control directions and position constraints

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.03.063

Abstract: Abstract This paper investigates the leaderless consensus problem in the presence of unknown control directions and position constraints under directed graph. Based on the Nussbaum-gain technique and Barrier Lyapunov functions, the position-constrained consensus protocol is… read more here.

Keywords: control directions; agent; control; position ... See more keywords
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Prescribed performance adaptive fault-tolerant tracking control for nonlinear time-delay systems with input quantization and unknown control directions

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Published in 2018 at "Neurocomputing"

DOI: 10.1016/j.neucom.2018.05.063

Abstract: Abstract This paper addresses the adaptive prescribed performance tracking control problem for a class of nonlinear time-delay systems with actuator fault, input quantization, unknown control directions and disturbances. Neural networks (NNs) are employed to approximate… read more here.

Keywords: control directions; input quantization; control; unknown control ... See more keywords
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Observer-based adaptive fuzzy prescribed performance control for feedback linearizable MIMO nonlinear systems with unknown control direction

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Published in 2019 at "Neurocomputing"

DOI: 10.1016/j.neucom.2019.08.066

Abstract: Abstract This paper investigates the prescribed performance tracking control problem for a class of feedback linearizable multi-input and multi-output (MIMO) nonlinear systems with immeasurable states and unknown control direction. The fuzzy systems are employed to… read more here.

Keywords: control direction; control; unknown control; adaptive fuzzy ... See more keywords
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Adaptive control of a class of quantised nonlinearly parameterised systems with unknown control directions

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Published in 2017 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2016.1221482

Abstract: ABSTRACT The problem of adaptive control is studied for a class of nonlinearly parameterised systems with quantised input signal and unknown control directions. The homogeneous domination approach and the Nussbaum-type gain method are applied to… read more here.

Keywords: control directions; nonlinearly parameterised; adaptive control; parameterised systems ... See more keywords
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Finite-time dynamic surface control for multi-agent systems with prescribed performance and unknown control directions

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Published in 2021 at "International Journal of Systems Science"

DOI: 10.1080/00207721.2021.1954719

Abstract: In this paper, the finite-time adaptive fuzzy control method is proposed for nonlinear nonstrict-feedback multi-agent systems (MASs) with unknown control directions. The Nussbaum function is introd... read more here.

Keywords: control directions; finite time; control; agent systems ... See more keywords