A generalised optimal linear quadratic tracker with universal applications – part 1: continuous-time systems
| Autor: | Shu-Mei Guo, Jason Sheng Hong Tsai, Leang-San Shieh, Ying Ting Liao, Min-Ching Chung, Faezeh Ebrahimzadeh, Li Wang |
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| Rok vydání: | 2016 |
| Předmět: |
0209 industrial biotechnology
Iterative learning control Phase (waves) PID controller 02 engineering and technology Linear quadratic Tracking (particle physics) Computer Science Applications Theoretical Computer Science Term (time) Frequency shaping 020901 industrial engineering & automation Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Plus integral 020201 artificial intelligence & image processing Mathematics |
| Zdroj: | International Journal of Systems Science. 48:376-396 |
| ISSN: | 1464-5319 0020-7721 |
| DOI: | 10.1080/00207721.2016.1186239 |
| Popis: | This paper presents a generalised optimal linear quadratic analog tracker LQAT with universal applications for the continuous-time CT systems. This includes: 1 a generalised optimal LQAT design for the system with the pre-specified trajectories of the output and the control input and additionally with both the input-to-output direct-feedthrough term and known/estimated system disturbances or extra input/output signals; 2 a new optimal filter-shaped proportional plus integral state-feedback LQAT design for non-square non-minimum phase CT systems to achieve a minimum phase-like tracking performance; 3 a new approach for computing the control zeros of the given non-square CT system; and 4 a one-learning-epoch input-constrained iterative learning LQAT design for the repetitive CT system. |
| Databáze: | OpenAIRE |
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