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AAAI
2011
7 years 11 months ago
Combining Learned Discrete and Continuous Action Models
Action modeling is an important skill for agents that must perform tasks in novel domains. Previous work on action modeling has focused on learning STRIPS operators in discrete, r...
Joseph Z. Xu, John E. Laird
AUTOMATICA
2008
124views more  AUTOMATICA 2008»
8 years 11 months ago
Lyapunov conditions for input-to-state stability of impulsive systems
This paper introduces appropriate concepts of input-to-state stability (ISS) and integral-ISS for impulsive systems, i.e., dynamical systems that evolve according to ordinary diff...
João Pedro Hespanha, Daniel Liberzon, Andre...
HYBRID
2000
Springer
9 years 2 months ago
Beyond HYTECH: Hybrid Systems Analysis Using Interval Numerical Methods
Abstract. Sincehybridembeddedsystemsarepervasiveandoftensafetycritical, guarantees about their correct performance are desirable. The hybrid systemsmodelcheckerHyTech providessuch ...
Thomas A. Henzinger, Benjamin Horowitz, Rupak Maju...
HYBRID
2007
Springer
9 years 5 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...
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