On the use of constraints in least squares estimation and control

Automatica

Volumn 38, Issue 7, 2002, Pages 1113-1123

  Robertson, Douglas G ^b   Lee, Jay H ^a  

^a Georgia Institute of Technology   (United States)

^b Aspen Technology   (United States)

Author keywords

Constrained parameters; Estimation algorithms; Maximum likelihood estimators; Non Gaussian processes; Optimal estimation; Quadratic programming

Indexed keywords

ALGORITHMS; LEAST SQUARES APPROXIMATIONS; MATHEMATICAL MODELS; MAXIMUM LIKELIHOOD ESTIMATION; OPTIMAL CONTROL SYSTEMS; PARAMETER ESTIMATION; QUADRATIC PROGRAMMING;

NON GAUSSIAN PROCESSES;

CONSTRAINT THEORY;

EID: 0036642674     PISSN: 00051098     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0005-1098(02)00029-8     Document Type: Article

References (10)

1. Inequality restrictions in regression analysis
2. Inequality constrained least-squares estimation
3. Optimal estimation theory for dynamic systems with set membership uncertainty: An overview
4. Identification and application of bounded-parameter models
5. Constraint handling and stability properties of model predictive control
6. A moving horizon-based approach for least squares estimation
7. Terminal composition control of a binary distillation column