Determination of a controllable set for a class of non-linear stochastic control systems

2003 ◽  
Vol 24 (3) ◽  
pp. 173-181 ◽  
Author(s):  
Yazeng Liu ◽  
Shige Peng
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Non Linear ◽  
Controllable Set

Cross-coupling and stability of non-linear stochastic control systems

1977 ◽  
Vol 8 (5) ◽  
pp. 539-546 ◽  
Author(s):  
JACOB ROOTENBERG ◽  
SEYED-ALI GHOZATI
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Cross Coupling ◽  
Non Linear

On the determination of limit cycles in relay control systems with additional saturation type non-linear elements†

1969 ◽  
Vol 10 (6) ◽  
pp. 703-711
Author(s):  
PETER MOLL ◽  
MADHUKAR PANDIT
Keyword(s):  
Control Systems ◽  
Limit Cycles ◽  
Relay Control ◽  
Non Linear ◽  
Linear Elements

Design of decoupled non-linear multivariable stochastic control systems

1989 ◽  
Vol 50 (1) ◽  
pp. 425-434
Author(s):  
ALI H. BAMANI
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Non Linear

Determination of Concrete Cube Strength from Used Samples / Určení Krychelné Pevnosti Betonu U Použitých Zkušebních Trámců

2012 ◽  
Vol 12 (2) ◽  
pp. 186-194 ◽  
Author(s):  
Oldřich Sucharda ◽  
David Mikolášek ◽  
Jiří Brožovský
Keyword(s):  
Compressive Strength ◽  
Concrete Beams ◽  
Linear Analysis ◽  
Bending Tests ◽  
Cube Strength ◽  
Non Linear ◽  
Compressive Strength Of Concrete ◽  
Concrete Cube

Abstract This paper deals with the determination of compressive strength of concrete. Cubes, cylinders and re-used test beams were tested. The concrete beams were first subjected to three-point or fourpoint bending tests and then used for determination of the compressive strength of concrete. Some concrete beams were reinforced, while others had no reinforcement. Accuracy of the experiments and calculations was verified in a non-linear analysis.

DETERMINATION OF THE JUICE EVAPORATION MATHEMATICAL MODELS EFFICIENCY FOR AUTOMATED PROCESS CONTROL SYSTEMS

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
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Keyword(s):  
Process Control ◽  
Mathematical Models ◽  
Control Systems ◽  
Process Control Systems ◽  
Automated Process

Mean-square Exponential Input-to-state Euler-Maruyama Method Applied to Stochastic Control Systems

2010 ◽  
Vol 36 (3) ◽  
pp. 406-411 ◽  
Author(s):  
Qiao ZHU ◽  
Guang-Da HU ◽  
Li ZENG
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Mean Square

Mean-Square Exponential Input-to-State Stability of Numerical Solutions for Stochastic Control Systems

2014 ◽  
Vol 39 (8) ◽  
pp. 1360-1365 ◽  
Author(s):  
Qiao ZHU ◽  
Jia-Rui CUI ◽  
Guang-Da HU
Keyword(s):  
Control Systems ◽  
Stochastic Control ◽  
Numerical Solutions ◽  
Mean Square

Offline method for determination of non‐linear dependence of machine magnetising inductance utilising parallel operation of current and voltage model

2019 ◽  
Vol 12 (11) ◽  
pp. 2843-2850 ◽  
Author(s):  
Ondrej Lipcak ◽  
Jan Bauer ◽  
Pavel Kobrle
Keyword(s):  
Linear Dependence ◽  
Parallel Operation ◽  
Non Linear

Transformations of a class of non-linear multivariable control systems to block companion forms and their applications

1991 ◽  
Vol 22 (10) ◽  
pp. 1841-1865 ◽  
Author(s):  
HUANN-KENG CHIANG ◽  
JASON S. H. TSAI ◽  
YORK YIH SUN
Keyword(s):  
Control Systems ◽  
Multivariable Control ◽  
Multivariable Control Systems ◽  
Non Linear
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