Results 31 to 40 of about 1,846,291 (243)
Exponential stability of discrete‐time delayed neural networks with saturated impulsive control
IET Control Theory & Applications, 2021 This paper examines the problem of the locally exponentially stability for impulsive discrete‐time delayed neural networks (IDDNNs) with actuator saturation.
Zhilong He +3 more
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IET Control Theory & Applications, 2021 This paper studies the stability of linearly coupled dynamical systems with feedback pinning algorithms. Here, both the coupling matrix and the set of pinned‐nodes are time‐varying, induced by stochastic processes.
Yujuan Han, Wenlian Lu, Tianping Chen
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Pinning control of fractional-order weighted complex networks [PDF]
, 2009 In this paper, we consider the pinning control problem of fractional-order weighted complex dynamical networks. The well-studied integer-order complex networks are the special cases of the fractional-order ones. The network model considered can represent
Jian-an Fang +5 more
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IET Renewable Power Generation, 2021 The interaction between the voltage source converter (VSC) and weak grid causes a negatively damped or diverging oscillation (DVO). The diverging oscillation generally evolves into a sustained oscillation (STO) when governed by the nonlinearities in the ...
Tianhao Wu +6 more
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A new fault tolerant control scheme for non‐linear systems by T‐S fuzzy model approach
IET Control Theory & Applications, 2021 This paper is concerned with the problem of fault tolerant control for non‐linear systems with sensor faults based on the T‐S fuzzy model approach. First, a fault estimation (FE) observer with L∞ technique is designed to estimate the fault.
Yue Wu +3 more
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IET Control Theory & Applications, 2021 Compared to control bandwidth, low‐frequency uncertainties or disturbances like step signals can be well rejected by many methods having two‐degree‐of‐freedom (2‐DOF).
Pan Yu +3 more
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IET Renewable Power Generation, 2021 Coordination between protection and control devices is crucial for maintaining continuous operation of power systems. Existing strategies suffer from improper coordination of control and protection devices.
Sayed M. Said +3 more
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Adaptive stochastic model predictive control of linear systems using Gaussian process regression
IET Control Theory & Applications, 2021 This paper presents a stochastic model predictive control method for linear time‐invariant systems subject to state‐dependent additive uncertainties modelled by Gaussian process (GP).
Fei Li, Huiping Li, Yuyao He
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IET Control Theory & Applications, 2021 The central concern of this paper is to study leader‐following quasi‐bipartite synchronisation of a multiple inertial signed neural networks with varying time‐delay by utilising distributed event‐triggered impulsive control scheme, where connections ...
K. Udhayakumar +3 more
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Dynamical Systems, Stability, and Chaos
, 2007 In this expository and resources chapter we review selected aspects of the mathematics of dynamical systems, stability, and chaos, within a historical framework that draws together two threads of its early development: celestial mechanics and control ...
Ball, R., Holmes, P.
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