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This paper proposes a new approach for compensating input delays in nonlinear systems under sampling. The proposed dynamic controller is based on an approximated predictor of the state of the system, obtained from an approximated representation of the sampled system dynamics, and ensures practical stabilization of the exact sampled system. The approximated representation can be obtained using well-known...
In this paper, the Takagi-Sugeno (TS) fuzzy modelling and the fuzzy regulation theory are considered in order to design a fuzzy controller capable of taking the output of a fuzzy plant to the reference signal generated by an external system. It is well-known that TS fuzzy modelling allows the stabilizer to be obtained by means of numerical techniques. As a result, stability region defined by the fuzzy...
An adaptive tracking controller for a discrete-time direct current (DC) motor model in presence of bounded disturbances is presented. A high order neural network is used to identify the plant model; this network is trained with an extended Kalman filter. Then, the discrete-time block control and sliding modes techniques are used to develop the reference tracking control. This paper includes also the...
In this paper, the problem of stabilization for the class of continuous time nonlinear systems which are exactly discretized is addressed. By using the Takagi-Sugeno model approach, a discrete controller capable of stabilizing the discrete T-S model and the continuous model as well, is obtained. This scheme allows the use of a digital controller for stabilizing an analog plant.
Conventional internal combustion engines use mechanical camshafts to command the opening and closing phases of the intake and exhaust valves. The lift valve profile is designed to reach a good compromise among various requirements of the engine operating conditions. In principle, optimality in every engine condition can be attained by camless valve trains. In this context, electromagnetic valves offer...
In this paper, the problem of forcing a nonlinear system to track a desired reference signal is addressed by combining the theory of output regulation and the Takagi-Sugeno fuzzy modelling. The designing of the fuzzy regulator is based on LMI techniques.
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