Results 31 to 40 of about 1,857,583 (293)
Improved noise‐to‐state stability criteria of random nonlinear systems with stochastic impulses
IET Control Theory & Applications, 2021 This paper considers noise‐to‐state stability for random non‐linear systems with stochastic impulses. The impulsive random non‐linear systems contain three random characteristics: the second‐moment processes in continuous dynamics, the sequence of random
Likang Feng, Ju H. Park, Weihai Zhang
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Robust Stability of Iterative Learning Control Schemes [PDF]
, 2007 A notion of robust stability is developed for iterative learning control in the context of disturbance attenuation. The size of the unmodelled dynamics is captured via a gap distance, which in turn is related to the standard H2 gap metric, and the ...
French, Mark
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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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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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Actor-Critic Reinforcement Learning for Control with Stability Guarantee
, 2020 Reinforcement Learning (RL) and its integration with deep learning have achieved impressive performance in various robotic control tasks, ranging from motion planning and navigation to end-to-end visual manipulation.
Han, Minghao +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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