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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 2 months ago
Model-on-Demand predictive control for nonlinear hybrid systems with application to adaptive behavioral interventions
This paper presents a data-centric modeling and predictive control approach for nonlinear hybrid systems. System identification of hybrid systems represents a challenging problem b...
Naresh N. Nandola, Daniel E. Rivera
SIAMCO
2010
201views more  SIAMCO 2010»
13 years 2 months ago
Analysis of Unconstrained Nonlinear MPC Schemes with Time Varying Control Horizon
For discrete time nonlinear systems satisfying an exponential or finite time controllability assumption, we present an analytical formula for a suboptimality estimate for model pre...
Lars Grüne, Jürgen Pannek, Martin Seehaf...
AUTOMATICA
2008
89views more  AUTOMATICA 2008»
13 years 7 months ago
On robustness of constrained discrete-time systems to state measurement errors
In this note we show that robustness with respect to additive disturbances implies robustness with respect to state measurement errors and additive disturbances for a class of dis...
B. J. P. Roset, W. P. M. H. Heemels, Mircea Lazar,...
CDC
2008
IEEE
117views Control Systems» more  CDC 2008»
14 years 2 months ago
Stability of model predictive control based on reduced-order models
— In this paper, we present a systematic procedure for obtaining closed-loop stable output-feedback model predictive control based on reduced-order models. The design uses linear...
Svein Hovland, Christian Løvaas, Jan Tommy ...
IJCNN
2000
IEEE
14 years 4 days ago
Robust Adaptive Critic Based Neurocontrollers for Systems with Input Uncertainties
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...
Zhongwu Huang, S. N. Balakrishnan