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Robust model predictive control of discrete nonlinear systems with bounded time-varying delay and persistent disturbances is investigated in this paper. The T-S fuzzy systems are utilized to represent nonlinear systems. A Razumikhin-type Lyapunov function is adopted for time-delay systems due to its advantage in reducing the complexity especially for systems with large delays and disturbances. The...
This paper presents a robust model predictive control method for discrete nonlinear systems. Instead of conventional T-S fuzzy system where linear local models are used, T-S fuzzy system with nonlinear local models is adopted that the number of fuzzy rules is decreased and the computational burden is reduced. Meanwhile, persistent external disturbances are also considered in the T-S fuzzy systems...
The heating, ventilating, and air-conditioning systems (HVAC systems) are typical nonlinear time-variable multivariate systems with disturbances and uncertainties. A new Mamdani fuzzy model predictive control strategy based on sum-min inference was proposed to control HVAC systems in this paper. The resolution relationship of two inputs and single output variables of the Mamdani fuzzy controller was...
The paper presents a predictive control scheme of heating ventilating air conditioning (HVAC) systems based on fuzzy RBF networks. The input space is divided by means of clustering, and the HVAC prediction model is set up using RBF networks. The generalized predictive control of the system is achieved by a fuzzy RBF controller. Practical experiments have demonstrated that the proposed control system...
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