Modeling, Control, and Scientific Computation for
Complicated Engineering Problems
by Prof.
Yunhua Li
School of Automation Science and Electric Engineering, Beihang University, China
The progress and development in computing science and computer technology provides a new way for the solution of complicated engineering problems. This talk will deals with using modeling, control, and scientific computing to give the solution for the complicated problem.
Firstly, the relative fundamental theory and algorithm, infrastructure, and solution steps to solve the complicated problem by using modeling and scientific computing method will be discussed.
Secondly, combining five typical engineering practical examples, the problem formulation and the solving procedure will be given and exhibited. The proposed solution methodology includes the distributed computing and control in the networked configuration, modeling and simulation for complicated physic-coupling system such as thermal tunnel and space-station life-supporting system, multi-objective optimization for power distribution system. The five application examples are as follows:
Software steering trapezium and networked control for large scale of transporting vehicle with multi-axle driving and multi-mode steering used in the high speed railway construction;
Modeling and computer control of fuel oil and temperature control of thermal tunnel;
Fault identification of power supply system of high speed railway using nonlinear dynamics method;
Modeling and collaborative simulation of the environment control and life support system of the space station in China;
Advanced optimization algorithm for intelligent power distributing and delivery system with the distributed electric supplies such as wind-power generator and solar-energy photovoltaic cell array.
Thirdly, the practical application effects of five practical examples are provided and the application experiences will be given for sharing.
Finally, the methodology and realization steps to solve the complicated engineering problem by using software computing will be summarized.
This talk will also offer an opportunity for the software computing solution to complicated problem exchange among delegates and participants from theory to engineering practice. Attendees will find new thoughts to solve the complicated problem.
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