ABSTRACT
This chapter looks at control system design using complete state feedback and also using the estimated state when incomplete measurements of the state are available. It provides an algorithm for calculating state feedback and explores the state estimator gains. An alternative approach is that of estimating the state based on measurements that are a linear combination of the states and then generating the control effort based on the estimated states. The initial state of the estimator will be chosen to be zero because often no better information exists. The chapter examines briefly the case for using output-variable feedback, but the main emphasis is that devoted to the application of estimated state feedback for control purposes. The necessity of a closed-loop estimation procedure was emphasized and system models as estimators were rejected because of divergence of the estimated state, thus given, from the actual system state.
