Results 21 to 30 of about 240,002 (335)

Codesign of communication scheduling and controller of networked control systems

open access: yesIET Cyber-Physical Systems, 2022
Networked control systems have received increasing attention from many researchers because of their vast potential. The insertion of communication networks in a controlled system brings network‐induced defects, which are mainly caused by limited network ...
Tadanao Zanma   +3 more
doaj   +1 more source

Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays

open access: yesFractal and Fractional, 2022
This paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks.
Xiuping Han   +4 more
doaj   +1 more source

Linear matrix inequality representation of sets [PDF]

open access: yesCommunications on Pure and Applied Mathematics, 2006
AbstractThis article concerns the question, Which subsets of ℝm can be represented with linear matrix inequalities (LMIs)? This gives some perspective on the scope and limitations of one of the most powerful techniques commonly used in control theory. Also, before having much hope of representing engineering problems as LMIs by automatic methods, one ...
Helton, J. William, Vinnikov, Victor
openaire   +2 more sources

H_ Index for Linear Time-Varying Markov Jump Stochastic Systems and Its Application to Fault Detection

open access: yesIEEE Access, 2019
In this paper, the H_ index for Markov jump linear time-varying stochastic systems and its application to robust H_ fault detection filter (FDF) are under consideration.
Tianliang Zhang   +2 more
doaj   +1 more source

Introducing Linear Matrix Inequalities in a Control Course [PDF]

open access: yes, 2006
7TH IFAC SYMPOSIUM ON ADVANCES IN CONTROL EDUCATION 21/06/2006 MadridThe important role that linear matrix inequalities have attained in the last years makes it compulsory to include them in the education of a control engineer.
Alamo, Teodoro   +4 more
core   +1 more source

H∞ control of a bilateral teleoperation system: Application to a PV system [PDF]

open access: yesE3S Web of Conferences, 2023
This paper presents a novel approach for the H∞ control of a bilateral teleoperation system by combining dilated Linear Matrix Inequalities (LMIs) and the Takagi-Sugeno (T-S) fuzzy approach.
Darouiche Fatima Zahra   +2 more
doaj   +1 more source

Exact Algorithms for Linear Matrix Inequalities [PDF]

open access: yesSIAM Journal on Optimization, 2016
Let $A(x)=A\_0+x\_1A\_1+...+x\_nA\_n$ be a linear matrix, or pencil, generated by given symmetric matrices $A\_0,A\_1,...,A\_n$ of size $m$ with rational entries. The set of real vectors x such that the pencil is positive semidefinite is a convex semi-algebraic set called spectrahedron, described by a linear matrix inequality (LMI).
Henrion, Didier   +2 more
openaire   +4 more sources

Output-Feedback Control of Nonlinear Systems using Control Contraction Metrics and Convex Optimization [PDF]

open access: yes, 2014
Control contraction metrics (CCMs) are a new approach to nonlinear control design based on contraction theory. The resulting design problems are expressed as pointwise linear matrix inequalities and are and well-suited to solution via convex optimization.
Manchester, Ian R.   +1 more
core   +2 more sources

Decentralized Controller Design for Stochastic Gene Regulatory Networks [PDF]

open access: yesJournal of Electrical and Computer Engineering Innovations, 2019
Background and Objectives: Regulation of protein expression in cellular level are so challenging. In cellular scale, biochemical processes are intrinsically noisy and many convenient controllers aren’t physically implementable.Methods: In this paper, we ...
M. Mohammadian
doaj   +1 more source

Adaptive Cut Generation Algorithm for Improved Linear Programming Decoding of Binary Linear Codes [PDF]

open access: yes, 2012
Linear programming (LP) decoding approximates maximum-likelihood (ML) decoding of a linear block code by relaxing the equivalent ML integer programming (IP) problem into a more easily solved LP problem.
Siegel, Paul H., Zhang, Xiaojie
core   +1 more source

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