Control-relevant experiment design for multivariable systems described by expansions in orthonormal bases

DOI10.1016/S0005-1098(00)00139-4zbMath0960.93512MaRDI QIDQ5926176

Cooley, Brian L., Lee, Jay H.

Publication date: 7 May 2001

Published in: Automatica (Search for Journal in Brave)

Mathematics Subject Classification ID

System identification (93B30) Design techniques (robust design, computer-aided design, etc.) (93B51) Multivariable systems, multidimensional control systems (93C35)

Related Items

Least-squares estimation of a class of frequency functions: a finite sample variance expression ⋮ Identification of ARX systems with non-stationary inputs -- asymptotic analysis with application to adaptive input design ⋮ D-optimal input design for nonlinear FIR-type systems: a dispersion-based approach ⋮ Least costly identification experiment for control ⋮ The cost of complexity in system identification: the output error case ⋮ From experiment design to closed-loop control ⋮ Optimal design of periodic test input signals for multivariable impulse response models ⋮ Identification for control: from the early achievements to the revival of experiment design ⋮ Identification for control of multivariable systems: controller validation and experiment design via LMIs ⋮ Multivariable system identification for integral controllability ⋮ Control relevant identification for robust optimal control

Cites Work

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• System identification with generalized orthonormal basis functions
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• The Equivalence of Two Extremum Problems
• Accurate identification for control: the necessity of an iterative scheme
• Optimal input signals for parameter estimation in dynamic systems--Survey and new results
• D-Optimality for Regression Designs: A Review

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