The H¿ control has been one of the important robust control approaches since the 1980s. This book extends the area to nonlinear stochastic H2/H¿ control, and studies more complex and practically useful mixed H2/H¿ controller synthesis rather than the pure H¿ control. Different from the commonly used convex optimization method, this book applies
The H¿ control has been one of the important robust control approaches since the 1980s. This book extends the area to nonlinear stochastic H2/H¿ control, and studies more complex and practically useful mixed H2/H¿ controller synthesis rather than the pure H¿ control. Different from the commonly used convex optimization method, this book applies
Mathematical Preliminaries. Linear Continuous-Time Stochastic H2 H1 Control. Linear Discrete-Time Stochastic H2 H1 Control. H2 H1 Control for Linear Discrete Time-Varying Stochastic Systems. Linear Markovian Jump Systems with Multiplicative Noise. Nonlinear Continuous-Time Stochastic H1 and H2 H1 Controls. Nonlinear Stochastic H1 and H2 H1 Filtering. Some Further Research Topics in Stochastic H2 H1 Control. Index.
Mathematical Preliminaries. Linear Continuous-Time Stochastic H2 H1 Control. Linear Discrete-Time Stochastic H2 H1 Control. H2 H1 Control for Linear Discrete Time-Varying Stochastic Systems. Linear Markovian Jump Systems with Multiplicative Noise. Nonlinear Continuous-Time Stochastic H1 and H2 H1 Controls. Nonlinear Stochastic H1 and H2 H1 Filtering. Some Further Research Topics in Stochastic H2 H1 Control. Index.
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