stochastic hybrid systems
Symmetry Reduction For Stochastic Hybrid Systems
... 7 Towards Symmetry Reduction for SHS In this section, we discuss how the symmetry reduction techniques described in Sections 5 and 6 can be further adapted in the framework of stochastic hybrid ...
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Symmetry reduction for stochastic hybrid systems
... probabilistic systems (briefly presented in Section ...to stochastic hybrid systems ...to stochastic hybrid systems is to find out the appropriate invariance ...
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Stochastic Hybrid Systems in Cellular Neuroscience
... of stochastic hybrid systems in cellular ...A stochastic hybrid system or piecewise determin- istic Markov process involves the coupling between a piecewise deterministic differ- ential ...
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Evolution of the modal densities of a class of stochastic hybrid systems
... In this text, a study on evolution of modal density functions of certain classes of stochastic hybrid systems is conducted. The motivation behind the study is based on the possible applications in ...
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Probabilistic-constrained optimal control of a class of stochastic hybrid systems
... of Stochastic Hybrid Systems Koichi Kobayashi, Koichiro Matou, and Kunihiko Hiraishi Abstract: Stochastic hybrid systems have several applications such as biological ...
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An Excursion-Theoretic Approach to Stability ofDiscrete-Time Stochastic Hybrid Systems
... non-Markovian) stochastic hybrid systems which undergo excursions into different domains infinitely ...important hybrid system, consisting of a compact target or safe set and its exterior, ...
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SMT-based synthesis of safe and robust PID controllers for stochastic hybrid systems
... for stochastic hybrid systems such that the resulting closed-loop system pro- vably satisfies a given (probabilistic) safety property in a robust way with respect to random ...
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Probabilistic bounded reachability for stochastic hybrid systems
... biological systems such as cardiac disorders and hormone therapy for treating prostate cancer ...support stochastic parametric hybrid systems, and it bases its verdict on δ-decisions, which ...
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On the Hamiltonian structure of large deviations in stochastic hybrid systems
... a stochastic formulation of synaptically-coupled neural networks that has a mathematical structure analogous to gene networks [3, ...underlying stochastic process approaches this deterministic limit in the ...
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Finite-time stability and stabilization of nonlinear stochastic hybrid systems
... switching stochastic systems which exist impulses at the switching ...of systems, a feedback controller is designed such that the corresponding impulsive stochastic closed-loop systems ...
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Hybrid Stochastic Systems: Numerical Methods, Limit Results, And Controls
... so-called stochastic hybrid systems, which are featured by the coexistence of continuous dynamics and discrete events and their ...Such systems have drawn much needed attentions in recent ...
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p-Safe analysis of stochastic hybrid processes
... case stochastic safety in ...(deterministic) hybrid system in [15], and for discrete-time stochastic hybrid systems in ...for hybrid systems with discontinuous ...
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Stability of hybrid stochastic retarded systems
... of Hybrid Stochastic Retarded Systems Lirong Huang, Student Member, IEEE, Xuerong Mao, and Feiqi Deng Abstract— In the past few years, hybrid stochastic retarded sys- tems (also known ...
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Comparison theorem of one-dimensional stochastic hybrid delay systems
... University of Wales Swansea, Swansea SA2 8PP, U.K. Abstract In this paper, the comparison theorem of stochastic differential delay equations with Markovian switching has been investigated. In order to develop our ...
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Adaptive simulation of hybrid stochastic and deterministic models for biochemical systems
... of stochastic models have appeared to correctly deal with extremely low number of molecules and large fluctuations in reaction kinetics [2, 18, 34, ...a stochastic system is described by the chemical master ...
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Accelerated stochastic and hybrid methods for spatial simulations of reaction-diffusion systems
... 4 Conclusion We presented two novel numerical methods for the efficient simulation of reaction-diffusion processes as described by stochastic and hybrid models. In Sτ -Leaping, a unified τ -Leaping ...
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Stochastic Systems
... “mean-removed cross-correlation”. The MATLAB help pages give the exact formulas used for each, so the main point here is to be careful to make sure you know what you really want. We will also make use of a special type ...
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Stochastic Systems
... 4 Stochastic Systems In this chapter we present a focused review of stochastic systems, oriented toward the material that is required in Chapters 5 and ...linear stochastic ...
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Stochastic Systems
... 4 Stochastic Systems In this chapter we present a focused review of stochastic systems, oriented toward the material that is required in Chapters 5 and ...linear stochastic ...
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Stochastic Systems
... Prerequisites. Readers should be familiar with basic concepts in probability, including random variables and standard distributions. We do not assume any prior familiarity with random processes. Caveats. This chapter is ...
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