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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 4 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
AUTOMATICA
2004
83views more  AUTOMATICA 2004»
13 years 9 months ago
Extremum seeking control for soft landing of an electromechanical valve actuator
Many electromagnetic actuators suffer from high velocity impacts. One such actuator is the electromechanical valve actuator, recently receiving attention for enabling variable val...
Katherine S. Peterson, Anna G. Stefanopoulou
CDC
2009
IEEE
166views Control Systems» more  CDC 2009»
14 years 1 months ago
Idempotent method for dynamic games and complexity reduction in min-max expansions
— In recent years, idempotent methods (specifically, max-plus methods) have been developed for solution of nonlinear control problems. It was thought that idempotent linearity o...
William M. McEneaney
NIPS
2003
13 years 10 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
HYBRID
2007
Springer
14 years 3 months ago
Metrics and Topology for Nonlinear and Hybrid Systems
Abstract. This paper presents an approach to defining distances between nonlinear and hybrid dynamical systems based on formal power series theory. The main idea is that the input...
Mihály Petreczky, René Vidal