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Purpose of this paper is to propose a method of gain-scheduled controller design for uncertain ship autopilot servo stochastic system. The Linear Parameter Varying (LPV) system, which is evolved from uncertainty linear system, is presented on characterizing uncertain time variations of parameters for the considered system. Moreover, the stochastic differential equation is employed to describe the...
This paper deals with steering control problem of a computer simulated model car with fuzzy control approach. For simulating the real environment, the stochastic behavior of system is considered as multiplicative noise term. In addition, the external disturbance effect on system is also discussed for achieving attenuation performance by applying passivity theory. Through using the Takagi-Sugeno (T-S)...
This paper is concerned with modeling, analysis and optimization/control of occupancy evolution in a large building. The main concern is efficient evacuation of a building in the event of threat or emergency. Complexity arises from the curse of dimensionality in a large building, as well as the uncertain and nonlinear dynamics of individuals. In this paper we propose relaxation techniques borrowed...
The authors investigate cobweb type software product price fluctuations with adaptive learning, and put forward a dynamic software product pricing method based on the dynamic stochastic wealth model (DSWM). In this model, price of software product is divided into two parts, initial purchase price and post-implementation price, and the software product market is treat as an expectation feedback system,...
The authors investigate cobweb type service price fluctuations with adaptive learning, and put forward a dynamic service pricing method based on the dynamic stochastic wealth model (DSWM). In this model, authors treat the service market as an expectation feedback system, where the current market equilibrium price of service determined by aggregated individual service providerpsilas expectations of...
The authors investigate cobweb type service price fluctuations and adaptive learning, and put forward a dynamic service pricing method based on the dynamic stochastic wealth model (DSWM). In this model, authors treat the service market as an expectation feedback system, where the current market equilibrium price of service determined by aggregated individual service providerpsilas expectations of...
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