Identification of step response estimates utilizing continuous time subspace approach

Journal of Process Control

Volumn 23, Issue 3, 2013, Pages 254-270

  Aziz, Muhammad Hilmi R A ^a   Mohd Mokhtar, Rosmiwati ^a   Wang, Liuping ^b  

^a SCHOOL OF CHEMICAL ENGINEERING   (Malaysia)

^b RMIT UNIVERSITY   (Australia)

Author keywords

Continuous time identification; Frequency sampling filters; Multi input multi output system; Subspace methods

Indexed keywords

COMPARATIVE ANALYSIS; COMPUTATIONAL LOADS; CONTINUOUS-TIME; DEVELOPED MODEL; DIRECT IDENTIFICATIONS; FINITE IMPULSE RESPONSE MODEL; FREQUENCY SAMPLING FILTERS; HIGH FREQUENCY; IDENTIFICATION PROCEDURE; MAXIMUM LIKELIHOOD METHODS; MONTE CARLO SIMULATION; MULTI INPUT MULTI OUTPUT; MULTI INPUT MULTI OUTPUT SYSTEMS; OBSERVED SYSTEMS; PERFORMANCE BASED; RESPONSE ESTIMATES; STATE SPACE; SUB-SPACE METHODS; SUBSPACE APPROACH; SUBSPACE IDENTIFICATION; SUBSPACE MODEL IDENTIFICATIONS; SUM OF SQUARES; TWO-STAGE IDENTIFICATION;

CONTINUOUS TIME SYSTEMS; DATA COMPRESSION; DRIVES; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD; MONTE CARLO METHODS; STEP RESPONSE;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 84874588671     PISSN: 09591524     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jprocont.2012.12.002     Document Type: Article

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