Download AETA 2013: Recent Advances in Electrical Engineering and by Ivan Zelinka, Vo Hoang Duy, Jaesang Cha PDF

By Ivan Zelinka, Vo Hoang Duy, Jaesang Cha

Over the earlier many years, fault analysis (FDI) and fault tolerant regulate innovations (FTC) were proposed in keeping with diversified thoughts for linear and nonlinear structures. certainly a substantial recognition is deployed on the way to do something about various damages leading to faults occurrence.

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Two-Level Transplant Evolution for Optimization of General Controllers. In: New Trends in Technologies, Sciyo (2010) 7. : Two-level Tranpslant Evolution. In: 17th Zittau Fuzzy Colloquium, Zittau, Germany (2010) 8. : Transplant Evolution with Modified Schema of Differential Evolution: Optimization Structure of Controllers. In: International Conference on Soft Computing MENDEL, Brno, Czech Republic (2010) 9. : Grammatical Differential Evolution. In: Proceedings of International Conference on Artificial Intelligence, pp.

On Evolutionary Design of Complex Structures and Electronic Circuits 23 References 1. : Genetic Programming: A paradigm for genetically breeding populations of computer programs to solve problems, Stanford University, Computer Science Department. Technical Report, STAN-CS-90-1314 (1990) 2. : Genetic Programming. MIT Press (1998) 3. : Grammatical Evolution: Evolving Programs for an Arbitrary Language. C. ) EuroGP 1998. LNCS, vol. 1391, pp. 83–96. Springer, Heidelberg (1998) 4. : Analytic programming – Symbolic regression by means of arbitrary evolutionary algorithms.

A few different EA’s are presented and tested in a total of 10 versions. Systems selected for numerical experiments is the well-known logistic equation. Typical example of evolutionary identification is in Equation (10), (11) and visualization in Figure 3. According to obtained results, it can be stated that evolutionary identification is an alternative and promising way as to how to identify chaotic systems. Extended case study is also reported in [16]. x A+ (A + A(x + Ax)) −1 − A + x − Ax + x2 − −A+x A 2 2A (1 − x)x2 (3A + x − 3Ax + Ax2) (10) (11) 22 I.

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