| Summary: | 碩士 === 國立高雄應用科技大學 === 電子與資訊工程研究所碩士班 === 92 === In this thesis, we design the linear FIR equalizer for communication channels from an H-infinity perspective, which the channels are considered as linear time-invariant, nonlinear time-invariant and linear time-invariant uncertain model, respectively. In the linear time-invariant uncertain channel model, the uncertain parameters are supposed to belong to a given convex bounded polyhedral domain, this approach can successfully solve the robust equalizer problem for all channel matrices are corrupted by parameter uncertainty. Besides, in the nonlinear time-invariant channel model, the Takagi-Sugeno (T-S) fuzzy modeling is used to construct the discrete time nonlinear system by the piecewise linear subsystems. Both discrete algebraic Riccati inequality (DARI) and linear matrix inequalities (LMIs) provide an extremely superior design methodology in the control fields; By the H-infinity method in conjunction with bounded real lemma, the stability analysis for the linear time invariant channel and FIR equalizer design are transformed into standard LMIs optimization problem. The coefficients of FIR equalizer are obtained by solving LMIs. All illustrative examples are presented to demonstrate the effectiveness of the proposed methodology.
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