Mathematical Methods in Robust Control of Linear Stochastic Systems

2013 | 455 Pages | ISBN: 1461486629 | PDF | 3.9 MB

This second edition of Mathematical Methods in the Robust Control of Linear Stochastic Systems includes a large number of recent results in the control of linear stochastic systems. More specifically, the new results presented are:

- A unified and abstract framework for Riccati type equations arising in the stochastic control

- Stability and control problems for systems perturbed by homogeneous Markov processes with infinite number of states

- Mixed H2 / H�� control problem and numerical procedures

- Linear differential equations with positive evolution on ordered Banach spaces with applications for stochastic systems including both multiplicative white noise and Markovian jumps represented by a Markov chain with countable infinite set of states

- Kalman filtering for stochastic systems subject both to state dependent noise and Markovian jumps

- H�� reduced order filters for stochastic systems

The book will appeal to graduate students, researchers in advanced control engineering, finance, mathematical systems theory, applied probability and stochastic processes, and numerical analysis.

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