Nonlinear reduced-order state and parameter observer

A globally stable algorithm for jointly estimating the state and parameters in deterministic nonlinear dynamic systems is developed. This is accomplished by combining the concepts developed by Raghavan for the design of a full-order adaptive observer with the techniques used by Friedland for development of reduced-order estimators. The result is a new method whose applicability exceeds that of many existing techniques in that it can accommodate multi-output systems. Several previously developed methods applicable to the same class of nonlinear system axe restricted to single-output systems. In addition, the new method is shown to have some computational advantages.