摘要：AbstractAdaptive residual generator is a powerful technique which delivers a simultaneous co-estimation of the state variables and unknown parameters with stability and convergence guarantee. This paper reports our recent study on a projection-aided adaptive residual generator design for disturbance-decoupled process monitoring. The core of the study is the implementation of a projection on the orthogonal complement of disturbance subspace, which results in a robust state and parameter estimation against unknown disturbance, furthermore, accurate process monitoring can be achieved.
