Parameter Identification of Linear Discrete-Time Systems with Guaranteed Transient Performance
Parameter Identification of Linear Discrete-Time Systems with Guaranteed Transient Performance is a scholarly work, published in 2018 in ''IFAC Proceedings Volumes''. The main subjects of the publication include estimation theory, discrete time and continuous time, model predictive control, norm, trajectory, linear system, monotonic function, identification, extension, least-squares function approximation, mathematical optimization, estimator, property, adaptive estimator, computer science, convergence, system identification, fault detection and isolation, applied mathematics, mathematics, and control theory. Dynamic regressor extension and mixing is a new technique for parameter estimation that has proven instrumental in the solution of several open problems in system identification and adaptive control.