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