Evolutionary Grey-Box Modelling For Nonlinear Systems (2007)
Kay Chen Tan, Yun Li, Peter J. Gawthrop, Andrew Glidle
: A novel grey-box modelling methodology combining advantages of both black and clear-boxes is presented in this paper. The technique explicitly uses physical prior knowledge that enables the...
Kay Chen Tan, Tong Heng Lee, Ramasubramanian Sathikannan
This paper presents an evolutionary algorithm with a new goal-sequence domination scheme for better decision support in multi-objective optimization. The approach allows the inclusion of advanced...
Kay Chen Tan, Tong Heng Lee, Ramasubramanian Sathikannan
This paper presents an evolutionary algorithm with a new goal-sequence domination scheme for better decision support in multi-objective optimization. The approach allows the inclusion of advanced...
Development of a web-based laboratory for control experiments on a coupled tank apparatus (2001)
C. C. Ko, Senior Member, Ben M. Chen, Jianping Chen, Yuan Zhuang, Kay Chen Tan
Abstract—The Internet provides a new environment for developing a variety of applications for educational and research purposes. This paper presents the implementation of a web-based laboratory...
Yun Li, Kay Chen Tan, Chritophe Marionneau
: This paper attempts to revolutionise control system design by unifying all LTI approaches in both the time and the frequency domains under performance satisfactions. The design is automated by...
Yun Li, Kay Chen Tan, Mingrui Gong
: This report develops a Boltzmann learning refined evolution method to perform model reduction for systems and control engineering applications. The evolutionary technique offers the global search...
Performance Based Linear Control System Design By Genetic Evolution With Simulated Annealing (1995)
Yun Li, Kay Chen Tan, Kim Chwee Ng
This paper develops a genetic algorithm based design automation method for linear control systems. It unifies the design and avoids the need for pre-selection of control schemes. Using this method,...
Automation of Linear and Nonlinear Control Systems Design By Evolutionary Computation (1995)
Yun Li, Kim Chwee Ng, Kay Chen Tan, Gary J. Gray, Euan W. McGookin, ...
: 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...
Physical Parametric Modelling for Nonlinear Systems
Introduction: Existing nonlinear system identification techniques include (a) approximating the practical system with artificial mathematical models; (b) the use of describing functions; and (c) the...
Evolutionary System Identification in the Time-Domain
This paper develops a genetic algorithm based multivariable system identification technique from plant step response data directly. Using this technique, globally optimised models for linear and...