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In order to solve the problems such as long time-delay, non-linear and the difficulty to establish an accurate mathematical model emerged in industrial field, we combine advanced intelligent control method with traditional automated devices, and put forward a Fuzzy Controller in accordance with the principle of fuzzy control and the characteristics of PLC. The Fuzzy Controller realized on the basis...
Signal transmission in control structures is usually characterized by propagation processes, i.e. existence of time delays. For the interpolative-type control structures the problem is often disregarded, especially in the design step. Undoubtedly, the effect consists in worse real performances that those designed. In this context, the present paper proposes and presents a solution able to compensate,...
In this paper, the passivity analysis of neutral fuzzy systems with delays and bounded uncertainties is considered. Based on Lyapunov-Krasovskii functional, the LMI approach and the descriptor system approach, sufficient conditions for passivity are obtained. Finally, a simulation example is provided to demonstrate effectiveness and applicability of the theoretical results.
In this paper, we show a controller design method for a class of discrete-time nonlinear systems described in T-S(Takagi-Sugeno) fuzzy model, which has uncertainties in state and input. The robust and non-fragile fuzzy Hinfin controller is designed based on Lyapunov function theory, PDC(parallel distributed compensation) and PLMI (parameterized linear matrix inequality) method. Those ensure the asymptotically...
The paper covers the problem involving the consequences of omitting to model the prehistory of dead time elements in control system modelling. It is shown that this omission is equivalent to the action of disturbances that can cause different effects, ranged from simple calculus differences to loss of stability. For this purpose three case studies are presented: a linear control system, a state feedback...
The guaranteed cost control problem for fuzzy systems with time-delay is investigated. The main contribution in this paper is two adjustable parameters are introduced in the controller, which are helpful to reduce the guaranteed cost and improve the dynamic performance of the closed-loop systems. The effectiveness of the proposed method is illustrated by an example.
For the problem of time-varying, nonlinear and time-delay in ventilation system, this paper addressed variable-frequency fuzzy PID control for highway tunnel ventilator, which has disadvantages both dynamic performance of fuzzy control and the steady performance of the PID algorithm. Fuzzy PID algorithm depends on export's experience and fuzzy reasoning, and it can carry out Energy-saving from enhancing...
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