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First, an input delay system is transformed into a discrete-time system with parameter uncertainty.
The suboptimal bang bang control method is extended to LTI system with parameter uncertainties.
The finite-time H∞ control problem of a class of Lipschitz nonlinear system with parameter uncertainties is studied.
Our hybrid control method is effective for the driving system with parameter perturbation and noise disturbance and it also holds that the disturbance is in the response networks.
Based on backstepping method, a fuzzy adaptive control scheme by combining fuzzy logic system with parameter is presented to achieve synchronization.
Robust finite-time H∞ control of a class of continuous-time nonlinear system with parameter uncertainties and disturbance input is discussed in this note.
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In the framework of finite receding horizon control (RHC), a system containing "parameter" uncertainties is modified into a system with "parameter-incremental" uncertainties within each horizon.
A WiMAX DL system with parameters listed in Table 1 is used to evaluate the performances.
We first give a KAM theorem for Hamiltonian system with parameters.
end{aligned} (20)The system (19) is a planar dynamical system with parameters (alpha, alpha _1, q, l) and U.
end{aligned} (9)The system Eq. (8) is a planar dynamical system with parameters (q, p, sigma ) and v.
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