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上海交通大学自动控制原理英文课件Chapter2 Model of control systems。
Costs entailed by software failures demonstrate that the systematic development of software in a certain quality is still a challenge, even after decades of research. A reason for this can certainly b...
Model predictive control (MPC) has become the most popular advanced control method in use today. Its main attractive features are (i) optimization of a model forecast over the available actuators (ii)...
The purpose of the International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017, is to provide a platform for researchers, engineers, academicians as well as industri...
The purpose of the International Conference on Model-Driven Engineering and Software Development, MODELSWARD 2017, is to provide a platform for researchers, engineers, academicians as well as industri...
Recent years have witnessed the emergence of domain specific model-based approaches for verification and validation in software development. These approaches are tailored to specific needs and use dom...
The evolution and development of information systems and management systems for Web were and are clearly important in the last years and at present. In addition, the complexity and needs of higher qua...
The increasing complexity of software poses new challenges for testing. Model Based Testing (MBT) is an important research area, where new approaches, methods and tools make MBT techniques more useful...
We are witnessing a dramatic increase of large engineering data resource availability and accessibility.
Global competition and the uncertainty of markets have led organizations and technology to evolve exponentially. Business paradigms have changed from a standalone vision into complex and collaborative...
Model reduction methods from diverse fields---including control, statistical mechanics and economics---aimed at systems that can be represented by Markov chains, are discussed in terms of their genera...
This paper is concerned with state estimation of two-dimensional (2-D) discrete stochastic systems. First, 2-D discrete stochastic system model is established by extending system matrices of the we...

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