Abstract Observability is a fundamental property of partially observed dynamical system, which means whether one can use an input sequence and the corresponding output to determine initial state. provides bases for many related problems, such as state estimation, identification, disturbance decoupling, controller synthesis, etc. Until now, improvement has been obtained in observability Boolean ...

Driven by the current economical needs, developments in process design and control point out that deliberate operation of chemical process requires better models and control designs than what is offered by the traditional Linear Time-Invariant (LTI) framework. In this paper an identification approach based on Linear Parameter-Varying (LPV) models is introduced for process systems which enables ...

In recent years Singular Spectrum Analysis (SSA), a relatively novel but powerful technique in time series analysis, has been developed and applied to many practical problems across different fields. In this paper we review recent developments in the theoretical and methodological aspects of the SSA from the perspective of analyzing and forecasting economic and financial time series, and also r...