Li, Y., Ng, K.C., Tan, K.C., Gray, G.J., McGookin, E.W., Murray-Smith, D.J., and Sharman, K.C. (1995) Automation of linear and nonlinear control systems design by evolutionary compuatation. In: 1st IFAC Youth Automation Conference, 22-25 Aug 1995, Beijing, China.
Full text not currently available from Enlighten.
This paper develops a uniform definition of control system design problems using a vector space. Design difficulties by conventional analytical and numerical means are discussed. Associated problem-classification is presented, togetherwith a possible automation technique that transforms unsolvable design problems to solvable analysis and non-NP design problems. Practically realisable design automation methodology is then developed, using genetic algorithm based evolution programs to transform the non-NP problems to NP-complete problems. This methodology is applied to the establishment of uniform linear control systems. Design automation of linear and nonlinear control systems is illustrated through two examples. It is shown that this methodology leads to globally optimised control systems, in addition to the ease of design achieved by the computerised automation.
|Item Type:||Conference Proceedings|
|Keywords:||Control system design, genetic algorithms, intelligent control, computer-aided control systems design, evolutionary computing, evolution programs, linear control systems, nonlinear control systems|
|Glasgow Author(s) Enlighten ID:||Murray-Smith, Prof David and McGookin, Dr Euan and Li, Prof Yun|
|Authors:||Li, Y., Ng, K.C., Tan, K.C., Gray, G.J., McGookin, E.W., Murray-Smith, D.J., and Sharman, K.C.|
|Subjects:||Q Science > QA Mathematics > QA76 Computer software|
T Technology > TJ Mechanical engineering and machinery
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|College/School:||College of Science and Engineering > School of Engineering > Systems Power and Energy|
College of Science and Engineering > School of Engineering
College of Science and Engineering > School of Engineering > Aerospace Sciences