Results 1 to 10 of about 25,937,483 (340)

Secure practical tracking of an uncertain robotic system under coarse conditions on reference trajectory and obstacles

IET Control Theory & Applications, 2023
This article investigates practical tracking joint with obstacle‐avoidance for a class of uncertain robotic systems. The remarkable features are revealed from two aspects.
Jian Li, Wenqing Xu, Zhaojing Wu
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Parameterization of Some Control Problems by Linear Systems

Известия Иркутского государственного университета: Серия "Математика", 2019
In the framework of control parameterization methods a number of optimization problems of linear phase systems with quadratic and bilinear functionals is considered.
V.A. Srochko, E.V. Aksenyushkina
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Model Predictive Control for Linear Complementarity and Extended Linear Complementarity Systems [PDF]

ITB Journal of Engineering Science, 2005
In this paper, we propose model predictive control method for linear complementarity and extended linear complementarity systems by formulating optimization along prediction horizon as mixed integer quadratic program.
Bambang Riyanto, Ibrahim Hakim
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Global controllability properties of linear control systems

Systems & Control Letters
For linear control systems with bounded control range, the state space is compactified using the Poincaré sphere. The linearization of the induced control flow allows the construction of invariant manifolds on the sphere and of corresponding manifolds in the state space of the linear control system.
Fritz Colonius, Alexandre J. Santana
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Asymptotic and Probabilistic Perturbation Analysis of Controllable Subspaces

Computation
In this paper, we consider the sensitivity of the controllable subspaces of single-input linear control systems to small perturbations of the system matrices.
Vera Angelova, Mihail Konstantinov, Petko Petkov   +2 more
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Optimal unpredictable control for linear systems

Automatica
In this paper, we investigate how to achieve the unpredictability against malicious inferences for linear systems. The key idea is to add stochastic control inputs, named as unpredictable control, to make the outputs irregular. The future outputs thus become unpredictable and the performance of inferences is degraded.
Chendi Qu, Jianping He 0001, Jialun Li, Xiaoming Duan   +3 more
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Mathematical models and algorithms for multi-agent control systems

Доклады Белорусского государственного университета информатики и радиоэлектроники, 2019
The linear position control algorithms for multi-agent systems are described. The algorithms use a minimum of prior information and spread of these algorithms to the multidimensional case. The methods take into account the external impacts.
S. M. Dymkov, A. V. Markov, V. I. Simankov   +2 more
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H∞ positive filter-based control for positive linear systems [PDF]

Archives of Control Sciences
This paper deals with the design of a positive functional H∞ filter-based controller for positive linear systems subject to bounded energy disturbances. We propose a new approach to numerically compute the controller, which is obtained via a function of ...
Montassar Ezzine, Mohamed Darouach, Harouna Souley Ali, Hassani Messaoud   +3 more
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Fuzzy BIBO Stability of Linear Control Systems

Journal of Mathematical Extension, 2014
In this paper, the concept of stability for fuzzy control systems is discussed from a mathematical point of view. Our main objective is to investigate the stability of fuzzy linear systems with bounded input and bounded output.
T. Allahviranloo, M. Ayatollahi, F. Amini, E. Vaseghi   +3 more
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Learning-Gain-Adaptive Iterative Learning Control to Linear Discrete-Time-Invariant Systems

IEEE Access, 2019
For a class of repetitive linear discrete-time-invariant systems with the unit relative degree, a learning-gain-adaptive iterative learning control (LGAILC) mechanism is exploited, for which the iteration-wise performance index is to maximize the ...
Xiaohui Li, Xiaoe Ruan, Yan Liu
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