Control systems modeling and analysis

Systems Risk Analysis UsingHierarchical Modeling

A fresh look at the system analysis helped us in finding a new way of calculating the risks associated with the system. The author found that, due to the shortcomings of RPN, more researches needed to be done in this area to use RPNs as a new source of information for system risk analysis. It is the purpose of this article to investigate the fundamental concepts of failure modes and effects ana...

Modeling and Analysis of Hybrid Control Systems

A hybrid control system contains both continuous-time and discrete event components. Specifically, the plant is a continuoustime system modeled by differential equations, and the controller is a discrete event system modeled by an automaton. This paper presents a framework for modeling hybrid control systems including the necessary interface between the plant and controller. A method to represe...

Modeling, analysis and control of fuzzy systems

For the development of the field of fuzzy control systems, techniques for modeling fuzzy systems need to be developed, which makes analysis of the system and the design of control laws systematic. In this paper, a new model of fuzzy systems is proposed which is a variation of "Tagaki and Sugeno's fuzzy model". Analysis of this model in terms of stability, controllability, observability etc. is ...

Modeling and Analysis of Hybrid Control Systems

We propose a formal approach to the modeling and analysis of hybrid control systems. The approach consists of the interleaved phases of hybrid dynamic system modeling, requirements speciication, hybrid control design and overall behavior veriication. We have developed Constraint Nets as a semantic model for hybrid dynamic systems. Using this model, continuous, discrete and event-driven componen...

Hybrid Systems: Modeling, Analysis and Control