Created by W.Langdon from gp-bibliography.bib Revision:1.7177

- @InProceedings{Das:2011:PACC,
- author = "Saptarshi Das and Indranil Pan and Shantanu Das and Amitava Gupta",
- title = "Genetic Algorithm Based Improved Sub-Optimal Model Reduction in Nyquist Plane for Optimal Tuning Rule Extraction of PID and {PI{$^\lambda$}D{$^\mu$}} Controllers via Genetic Programming",
- booktitle = "International Conference on Process Automation, Control and Computing (PACC 2011)",
- year = "2011",
- month = "20-22 " # jul,
- address = "Coimbatore",
- publisher = "IEEE",
- keywords = "genetic algorithms, genetic programming, GA, GP, H2-norm based reduced order modelling techniques, Nyquist based sub-optimal model reduction, Nyquist plane, PID controllers, Pareto optimal front, control signal, fractional order PI D, controllers, optimal tuning rule extraction, weighted integral error index, control system synthesis, optimal control, reduced order systems, signal processing, three-term control",
- isbn13 = "978-1-61284-765-8",
- DOI = "doi:10.1109/PACC.2011.5978962",
- URL = "http://arxiv.org/abs/1202.5686",
- URL = "http://arxiv.org/pdf/1202.5686v1",
- size = "6 pages",
- abstract = "Genetic Algorithm (GA) has been used in this paper for a new Nyquist based sub-optimal model reduction and optimal time domain tuning of PID and fractional order (FO) PI lambda D mu controllers. Comparative studies show that the new model reduction technique outperforms the conventional H2-norm based reduced order modelling techniques. Optimum tuning rule has been developed next with a test-bench of higher order processes via Genetic Programming (GP) with minimum value of weighted integral error index and control signal. From the Pareto optimal front which is a trade-off between the complexity of the formulae and control performance, an efficient set of tuning rules has been generated for time domain optimal PID and PID controllers.",
- notes = "Also known as \cite{5978962}",
- oai = "oai:arXiv.org:1202.5686",
- }

Genetic Programming entries for Saptarshi Das Indranil Pan Shantanu Das Amitava Gupta