Titlebook: Hybrid Systems: Computation and Control; Third International Nancy Lynch,Bruce H. Krogh Conference proceedings 2000 Springer-Verlag Berlin

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書目名稱Hybrid Systems: Computation and Control影響因子(影響力)




書目名稱Hybrid Systems: Computation and Control影響因子(影響力)學(xué)科排名




書目名稱Hybrid Systems: Computation and Control網(wǎng)絡(luò)公開(kāi)度




書目名稱Hybrid Systems: Computation and Control網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Hybrid Systems: Computation and Control被引頻次




書目名稱Hybrid Systems: Computation and Control被引頻次學(xué)科排名




書目名稱Hybrid Systems: Computation and Control年度引用




書目名稱Hybrid Systems: Computation and Control年度引用學(xué)科排名




書目名稱Hybrid Systems: Computation and Control讀者反饋




書目名稱Hybrid Systems: Computation and Control讀者反饋學(xué)科排名

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沙發(fā)

Invariant Sets and Control Synthesis for Switching Systems with Safety Specificationstizing the dynamical systems and, second, by using an inner approximation of these sets that, together with the classical outer approximation, yields tight bounds for an error due to the truncation of the procedure after a finite number of steps. The theory is applied to idle-speed regulation in engine control.

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interlude

Models of Computation and Simulation of Hybrid Systemste, synthesize to an appropriate implementation and optimize its behavior are criteria to follow for the choice of an MOC to describe and manipulate a design. For example, some MOCs are suitable for describing complicated data transfer functions and completely unsuitable for complex control, while others are designed with complex control in mind.

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Minatory

Robust Undecidability of Timed and Hybrid Systemshod, they also prove that the standard model of timed and hybrid systems, while not “robust” in its definition of trajectory acceptance (which is affected by tiny perturbations in the timing of events), is quite robust in its mathematical properties: the undecidability barriers are not affected by reasonable perturbations of the model.

決定性

Towards a Theory of Stochastic Hybrid Systems it is shown that they converge to their counterparts for the solution process of the original SDE as the discretization step goes to zero. As a result, the discretized stochastic hybrid system provides a useful tool for studying various sample path properties of the SDE.

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