Read Large-Scale Systems: Modeling, Control and Fuzzy Logic by Mohammad Jamshidi Online
Large-Scale Systems: Modeling, Control and Fuzzy Logic Fuzzy logic, neural networks, and genetic (evolutionary) algorithms all offer new avenues for modeling, stabilization, control, and optimization of large-scale systems.12568-2 How Large is Large? One
| Title | : | Large-Scale Systems: Modeling, Control and Fuzzy Logic |
| Author | : | |
| Rating | : | 4.62 (643 Votes) |
| Id Book | : | 0131256831 |
| Format Type | : | Hardcover |
| Number of Pages | : | 578 Pages |
| Publish Date | : | 0000-00-00 |
| Type File | : | PDF, DOC, RTF, ePub |
12568-2 How Large is Large? One definition of large-scale systems is that they are capable of partitioning into subsystems for computational or practical reasons. Another viewpoint defines any system as "large" if conventional techniques of modeling, analysis, and control fail to yield reasonable solutions with reasonable computational efforts. These definitions can be applied to a variety of systems in fields as diverse as business management, the environment, data networks, aerospace, transportation, and energy. All these large-scale systems require special approaches to modeling and control, and recent advances in soft computing provide new opportunities to use intelligent control to manage their complexity. Fuzzy logic, neural networks, and genetic (evolutionary) algorithms all offer new avenues for modeling, stabilization, control, and optimization of large-scale systems. This book presents past and present trends, and looks into the future potential with a special focus on comput
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