The results have been achieved through the synergetic use of concepts, techniques and technologies drawn from electrical and mechanical engineering, control engineering, systems science, computer science and management science.
Dirichlet boundary value problems have been widely studied because of their applications to various fields of applied sciences such as mechanical engineering, control systems, computer science, economics, artificial or biological neural networks and many others.
In different fields of research, such as computer science, mechanical engineering, control systems, population biology, economics and many others, the mathematical modeling of important questions leads naturally to the consideration of nonlinear difference equations.
It is well known that in different fields of research, such as computer science, mechanical engineering, control systems, artificial or biological neural networks, and economics, the mathematical modelling of important questions leads naturally to the consideration of nonlinear difference equations.
Because of its wide application in various sciences such as physics, mechanical engineering, control theory and economics, the theory of stochastic partial differential equations has been investigated by many authors, and some fruitful results have already been achieved (see [1 4]).
It is well known that in different fields of research, such as computer science, mechanical engineering, control systems, artificial or biological neural networks, economics and many others, the mathematical modeling of important questions leads naturally to the consideration of nonlinear difference equations.
From then on, research and development of vehicle dynamics performance has been carried out as a collaborated technology of mechanical engineering and control engineering.
Mechatronics is formally defined as the synergistic combination of precision mechanical engineering, electronic control, and systems thinking in the design of products and manufacturing processes.
A mechatronics concentration area in the engineering curriculum would support the synergistic integration of precision mechanical engineering, electronics control, and systems thinking into the design of intelligent products and processes.
Due to the synergistic nature of mechanical engineering, electronic control and systematical thinking [1], the mechatronics education is regarded as a complicated and more demanding course characterized by the need of highly integrated ability with theoretical knowledge and hands-on experiment to solve proposed problems, and thus has drawn great attention worldwide.
For industrial robots, we have seen significant improvements in terms of both mechanical engineering and control engineering.
