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CDC
2009
IEEE
194views Control Systems» more  CDC 2009»
13 years 12 months ago
Robust tube-based MPC for constrained mobile robots under slip conditions
— This paper focuses on the design of a robust tube-based Model Predictive Control law for the control of constrained mobile robots. A time-varying trajectory tracking error mode...
Ramon Gonzalez, Mirko Fiacchini, Jose Luis Guzman,...
SOCO
2002
Springer
13 years 8 months ago
A dynamically-constructed fuzzy neural controller for direct model reference adaptive control of multi-input-multi-output nonlin
Conventional industrial control systems are in majority based on the single-input-single-output design principle with linearized models of the processes. However, most industrial p...
Yakov Frayman, Lipo Wang
MCSS
2006
Springer
13 years 8 months ago
A performance comparison of robust adaptive controllers: linear systems
We consider robust adaptive control designs for relative degree one, minimum phase linear systems of known high frequency gain. The designs are based on the dead-zone and projecti...
Ahmad Sanei, Mark French
SIMPAR
2010
97views Robotics» more  SIMPAR 2010»
13 years 6 months ago
A Parameterless Biologically Inspired Control Algorithm Robust to Nonlinearities, Dead-Times and Low-Pass Filtering Effects
A biologically inspired control algorithm for robot control was introduced in a previous work. The algorithm is robust to noisy sensor information and hardware failures. In this pa...
Fabio Dalla Libera, Shuhei Ikemoto, Takashi Minato...
ESWA
2007
135views more  ESWA 2007»
13 years 8 months ago
Decoupled control using neural network-based sliding-mode controller for nonlinear systems
In this paper, adaptive neural network sliding-mode controller design approach with decoupled method is proposed. The decoupled method provides a simple way to achieve asymptotic ...
Lon-Chen Hung, Hung-Yuan Chung