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HYBRID
2007
Springer
13 years 11 months ago
Robust, Optimal Predictive Control of Jump Markov Linear Systems Using Particles
Hybrid discrete-continuous models, such as Jump Markov Linear Systems, are convenient tools for representing many real-world systems; in the case of fault detection, discrete jumps...
Lars Blackmore, Askar Bektassov, Masahiro Ono, Bri...
CDC
2009
IEEE
170views Control Systems» more  CDC 2009»
13 years 8 months ago
Integrated direct/indirect adaptive robust control of a class of nonlinear systems preceded by unknown dead-zone nonlinearity
— This paper presents an integrated direct/indirect adaptive robust control (DIARC) scheme for a class of nonlinear systems preceded by unknown non-symmetric, non-equal slope dea...
Chuxiong Hu, Bin Yao, Qingfeng Wang
ICRA
2008
IEEE
169views Robotics» more  ICRA 2008»
13 years 11 months ago
Robotic airship trajectory tracking control using a backstepping methodology
Abstract—This paper considers the design of a novel closedloop trajectory tracking controller for an underactuated robotic airship having 6 degrees of freedom (DOF) and 3 control...
Filoktimon Repoulias, Evangelos Papadopoulos
CDC
2008
IEEE
139views Control Systems» more  CDC 2008»
13 years 11 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
AUTOMATICA
2008
114views more  AUTOMATICA 2008»
13 years 5 months ago
A synthesis approach for output feedback robust constrained model predictive control
This paper addresses the synthesis approach to output feedback robust model predictive control for systems with polytopic description, bounded state disturbance and measurement no...
BaoCang Ding, YuGeng Xi, Marcin T. Cychowski, Thom...