- Unifies existing and emerging concepts concerning multi-objective control and stochastic control with engineering-oriented phenomena - Establishes a unified theoretical framework for control and filtering problems for a class of discrete-time nonlinear stochastic systems with consideration to performance - Includes case studies of several nonlinear stochastic systems - Investigates the phenomena of incomplete information, including missing/degraded measurements, actuator failures and sensor saturations - Considers both time-invariant systems and time-varying systems - Exploits newly developed techniques to handle the emerging mathematical and computational challenges

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