Results 1 to 10 of about 1,830,508 (147)
Carleman inequality for a class of super strong degenerate parabolic operators and applications
In this paper, we present a new Carleman estimate for the adjoint equations associated to a class of super strong degenerate parabolic linear problems. Our approach considers a standard geometric imposition on the control domain, which can not be removed
Bruno Sérgio Araújo +2 more
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Exponential stability of discrete‐time delayed neural networks with saturated impulsive control
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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This paper is concerned with necessary and sufficient conditions for stabilisability of time‐varying discrete‐time switched systems. Starting with an asymptotically stable function, an exponentially stable function and a uniformly exponentially stable ...
Junjie Lu, Zhikun She, Fucheng Liao
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Stabilizing non‐linear model predictive control using linear parameter‐varying embeddings and tubes
This paper proposes a model predictive control (MPC) approach for non‐linear systems where the non‐linear dynamics are embedded inside a linear parameter‐varying (LPV) representation. The non‐linear MPC problem is therefore replaced by an LPV MPC problem,
Jurre Hanema, Roland Tóth, Mircea Lazar
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Coordination of multi‐agent systems with arbitrary convergence time
This paper proposes fixed‐time solutions to several problems in multi‐agent systems. First, a fixed‐time consensus protocol is investigated and under the assumption that the lower bound of smallest positive eigenvalue of the Laplacian matrix is known in ...
Thanh Truong Nguyen +4 more
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Mathematical modelings of many electric and mechanical systems involve piecewise linear system. Piecewise linear system can possess a periodic solution called a limit‐cycle oscillation (LCO), which can seriously undermine the system performance ...
Yongeun Yoon, Eric N Johnson
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Adaptive stochastic model predictive control of linear systems using Gaussian process regression
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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Generalised dual‐filter disturbance observer for nonminimum‐phase systems
To reject the disturbances of the nonminimum‐phase systems, the generalised dual‐filter disturbance observer is proposed. The conventional disturbance observer methods inevitably lead to nonminimum‐phase systems' instability. To stabilise the system, the
Jiuqiang Deng, Xi Zhou, Yao Mao
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Convex model predictive control for collision avoidance
This manuscript proposes a model predictive control for collision avoidance for the regulation problem of deterministic linear systems, which provides a priori guarantees of strong system theoretic properties, such as positive invariance and asymptotic ...
Saša V. Raković +4 more
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This paper proposes a distributed artificially delayed output feedback‐based leader–follower and leaderless consensus control for the uncertain general linear multiagent systems (MASs) with an arbitrary relative degree.
Sandeep Kumar Soni +4 more
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