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ISNN
2004
Springer
14 years 2 months ago
Robust Adaptive Control Using Neural Networks and Projection
Abstract. By using differential neural networks, we present a novel robust adaptive controller for a class of unknown nonlinear systems. First, dead-zone and projection techniques...
Xiaoou Li, Wen Yu
SMC
2007
IEEE
169views Control Systems» more  SMC 2007»
14 years 3 months ago
Simulated and experimental study of antilock braking system using grey sliding mode control
— Antilock Braking System (ABS) exhibits strongly nonlinear and uncertain characteristics. To overcome these difficulties, robust control methods should be employed. In this pap...
Yesim Oniz, Erdal Kayacan, Okyay Kaynak
AUTOMATICA
2006
98views more  AUTOMATICA 2006»
13 years 9 months ago
Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model
Two integrator backstepping designs are presented for digitally controlled continuous-time plants in special form. The controller designs are based on the Euler approximate discre...
Dragan Nesic, Andrew R. Teel
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
14 years 3 months ago
Iterative Risk Allocation: A new approach to robust Model Predictive Control with a joint chance constraint
Abstract— This paper proposes a novel two-stage optimization method for robust Model Predictive Control (RMPC) with Gaussian disturbance and state estimation error. Since the dis...
Masahiro Ono, Brian C. Williams
RAS
2008
149views more  RAS 2008»
13 years 8 months ago
Omni-directional mobile robot controller based on trajectory linearization
In this paper, a nonlinear controller design for an omni-directional mobile robot is presented. The robot controller consists of an outer-loop (kinematics) controller and an inner...
Yong Liu, J. Jim Zhu, Robert L. Williams II, Jianh...