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AUTOMATICA
2006
67views more  AUTOMATICA 2006»
15 years 6 months ago
Numerical methods for controlled regime-switching diffusions and regime-switching jump diffusions
This work is concerned with numerical methods for controlled regime-switching diffusions, and regime-switching jump diffusions. Numerical procedures based on Markov chain approxim...
Q. S. Song, Gang George Yin, Z. Zhang
AUTOMATICA
2004
122views more  AUTOMATICA 2004»
15 years 6 months ago
Approximate explicit receding horizon control of constrained nonlinear systems
An algorithm for the construction of an explicit piecewise linear state feedback approximation to nonlinear constrained receding horizon control is given. It allows such controlle...
Tor Arne Johansen
IJSYSC
1998
93views more  IJSYSC 1998»
15 years 5 months ago
A new adaptive control scheme with arbitrary nonlinear inputs
This paper presents a new analysis and design method for model reference adaptive control(MRAC) with arbitrary bounded input nonlinearities. The adaptive algorithm ensures that th...
Wen Yu, Manuel de la Sen
TSMC
2002
105views more  TSMC 2002»
15 years 5 months ago
V-Lab-a virtual laboratory for autonomous agents-SLA-based learning controllers
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
Aly I. El-Osery, John Burge, Mohammad Jamshidi, An...
AUTOMATICA
2010
123views more  AUTOMATICA 2010»
15 years 4 months ago
On the computation of linear model predictive control laws
Finite-time optimal control problems with quadratic performance index for linear systems with linear constraints can be transformed into Quadratic Programs (QPs). Model Predictive ...
Francesco Borrelli, Mato Baotic, Jaroslav Pekar, G...