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» Computing Controllers for Nonlinear Hybrid Systems
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JIRS
2008
100views more  JIRS 2008»
14 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
15 years 4 months ago
Control software model checking using bisimulation functions for nonlinear systems
— This paper extends a method for integrating source-code model checking with dynamic system analysis to verify properties of controllers for nonlinear dynamic systems. Source-co...
James Kapinski, Alexandre Donzé, Flavio Ler...
HYBRID
1999
Springer
15 years 1 months ago
Orthogonal Polyhedra: Representation and Computation
Abstract. In this paper we investigate orthogonal polyhedra, i.e. polyhedra which are finite unions of full-dimensional hyper-rectangles. We define representation schemes for the...
Olivier Bournez, Oded Maler, Amir Pnueli
AUTOMATICA
2008
154views more  AUTOMATICA 2008»
14 years 9 months ago
Approximately bisimilar symbolic models for nonlinear control systems
Control systems are usually modeled by differential equations describing how physical phenomena can be influenced by certain control parameters or inputs. Although these models ar...
Giordano Pola, Antoine Girard, Paulo Tabuada
CDC
2010
IEEE
167views Control Systems» more  CDC 2010»
14 years 4 months ago
Numerical methods for the optimization of nonlinear stochastic delay systems, and an application to internet regulation
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Harold J. Kushner