On the control of max-plus linear system subject to state restriction

C.A. Maia; C.R. Andrade; L. Hardouin

doi:10.1016/j.automatica.2011.01.047

On the control of max-plus linear system subject to state restriction

Automatica ◽

10.1016/j.automatica.2011.01.047 ◽

2011 ◽

Vol 47 (5) ◽

pp. 988-992 ◽

Cited By ~ 36

Author(s):

C.A. Maia ◽

C.R. Andrade ◽

L. Hardouin

Keyword(s):

Linear System ◽

State Restriction

Chaos in a manifold piecewise linear system

Electrical Engineering in Japan ◽

10.1002/ecja.4400641003 ◽

1981 ◽

Vol 64 (10) ◽

pp. 9-17 ◽

Cited By ~ 3

Author(s):

Toshimichi Saito ◽

Hiroichi Fujita

Keyword(s):

Linear System ◽

Piecewise Linear ◽

Piecewise Linear System

Linear system reduction using approximate moment matching

IEE Proceedings D Control Theory and Applications ◽

10.1049/ip-d.1990.0040 ◽

1990 ◽

Vol 137 (5) ◽

pp. 322

Author(s):

M. Bettayeb ◽

U.M. Al-Saggaf

Keyword(s):

Linear System ◽

Moment Matching ◽

System Reduction

Impossibility of steady squeezing for two-mode linear system without self-action

Journal de Physique I ◽

10.1051/jp1:1991105 ◽

1991 ◽

Vol 1 (9) ◽

pp. 1217-1227 ◽

Cited By ~ 3

Author(s):

A. A. Bakasov ◽

N. V. Bakasova ◽

E. K. Bashkirov ◽

V. Chmielowski

Keyword(s):

Linear System

The General Solution of Control Problem for Linear System of Differential Equations with Boundary Conditions

Journal of Automation and Information Sciences ◽

10.1615/jautomatinfscien.v35.i7.20 ◽

2003 ◽

Vol 35 (7) ◽

pp. 15-21

Author(s):

Sergey A. Bublik

Keyword(s):

Linear System ◽

General Solution ◽

Differential Equations ◽

Boundary Conditions ◽

Control Problem ◽

System Of Differential Equations

Estimating poles of a linear system using erroneous Markov Parameters

10.23919/acc.1990.4790750 ◽

1990 ◽

Author(s):

Michel Verhaegen

Keyword(s):

Linear System ◽

Markov Parameters

Stabilization of a continuous-time linear system with bounded network delay based on periodic event-triggering

2019 Chinese Control Conference (CCC) ◽

10.23919/chicc.2019.8865809 ◽

2019 ◽

Author(s):

Rui Chen ◽

Feng Li ◽

Song Wang ◽

Qiang Ling

Keyword(s):

Linear System ◽

Continuous Time ◽

Network Delay ◽

Event Triggering ◽

Time Linear

Robust performance bounds for scalar output of linear system with structured uncertainty

1997 European Control Conference (ECC) ◽

10.23919/ecc.1997.7082312 ◽

1997 ◽

Author(s):

V.F. Sokolov

Keyword(s):

Linear System ◽

Performance Bounds ◽

Robust Performance ◽

Structured Uncertainty ◽

Scalar Output

Dual adaptive controls for linear system with unknown drifting parameters

2009 European Control Conference (ECC) ◽

10.23919/ecc.2009.7074437 ◽

2009 ◽

Author(s):

R. Tenno

Keyword(s):

Linear System ◽

Adaptive Controls

Robust topology optimization for the worst load case based on aggregation of linear system

13th AIAA/ISSMO Multidisciplinary Analysis Optimization Conference ◽

10.2514/6.2010-9358 ◽

2010 ◽

Author(s):

Akihiro Takezawa ◽

Satoru Nii ◽

Mitsuru Kitamura ◽

Nozomu Kogiso

Keyword(s):

Topology Optimization ◽

Linear System ◽

Load Case ◽

Robust Topology Optimization ◽

Case Based

Normalization Bernstein Basis For Solving Fractional Fredholm-Integro Differential Equation

Ibn AL- Haitham Journal For Pure and Applied Science ◽

10.30526/2017.ihsciconf.1821 ◽

2018 ◽

pp. 491

Author(s):

Abdul Khaleq O. Al-Jubory ◽

Shaymaa Hussain Salih

Keyword(s):

Differential Equation ◽

Approximate Solution ◽

Linear System ◽

Differential Equations ◽

Bernstein Basis ◽

Traditional Methods ◽

Integro Differential Equation

In this work, we employ a new normalization Bernstein basis for solving linear Freadholm of fractional integro-differential equations nonhomogeneous of the second type (LFFIDEs). We adopt Petrov-Galerkian method (PGM) to approximate solution of the (LFFIDEs) via normalization Bernstein basis that yields linear system. Some examples are given and their results are shown in tables and figures, the Petrov-Galerkian method (PGM) is very effective and convenient and overcome the difficulty of traditional methods. We solve this problem (LFFIDEs) by the assistance of Matlab10.