System Identification Under General Norms for Linear Parameter Varying State-Space Systems via Sparse Matrix Methods

Author:

Harker Matthew1,Rath Gerhard2

Affiliation:

1. Ontario Tech University,Faculty of Engineering and Applied Science,Oshawa,Canada

2. University of Leoben,Chair of Automation,Leoben,Austria,8700

Publisher

IEEE

Reference19 articles.

1. Numerical Methods for Least Squares Problems

2. Matrix Computations

3. The ubiquitous Kronecker product

4. Discrete-time variable projection method for fractional order system identification;harker;Fractional Differentiation and Its Applications (ICFDA) 2016 International Conference on Conference Proceedings,0

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1. System Identification with Non-Uniformly Sampled and Intermittent Data in the Internet of Things;2023 International Conference on Applied Electronics (AE);2023-09-06

2. Time-Domain Model Matching Under General Norms via Sparse Matrix Methods;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06

3. Optimal Control of State-Space Systems with Hard Bounds on Control Inputs and State Variables;2023 12th Mediterranean Conference on Embedded Computing (MECO);2023-06-06

4. Direct Numerical Solution of the LQR with Input Derivative Regularization Problem;IFAC-PapersOnLine;2023

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