Modeling and Control of Complex SystemsPetros A. Ioannou, Andreas Pitsillides Comprehension of complex systems comes from an understanding of not only the behavior of constituent elements but how they act together to form the behavior of the whole. However, given the multidisciplinary nature of complex systems, the scattering of information across different areas creates a chaotic situation for those trying to understand pos |
Contents
| 1 | |
| 13 | |
Chapter 3 Modeling and Control Problems in Building Structures and Bridges | 99 |
Chapter 4 ModelFree Adaptive Dynamic Programming Algorithms for HInfinity Control of Complex Linear Systems | 131 |
Chapter 5 Optimization and Distributed Control for Fair Data Gathering in Wireless Sensor Networks | 161 |
Chapter 6 Optimization Problems in the Deployment of Sensor Networks | 179 |
Chapter 7 Congestion Control in Computer Networks | 203 |
Chapter 8 Persistent Autonomous Formations and Cohesive Motion Control | 247 |
Chapter 11 Modeling and Control in Cancer Genomics | 339 |
Chapter 12 Modeling and Estimaton Problems in the Visuomotor Pathway | 367 |
Chapter 13 Modeling Simulation and Control of Transportation Systems | 407 |
Chapter 14 Backstepping Controllers for Stabilization of Turbulent Flow PDEs | 439 |
Chapter 15 An Approach to Home Automation by Means of MAS Theory | 461 |
Chapter 16 MultiRobot Social GroupBased Search Algoithms | 485 |
| 509 | |
Back cover | 535 |
Current Status and Future Directions | 277 |
Chapter 10 A Framework for LargeScale MultiRobot Teams | 297 |
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Modeling and Control of Complex Systems Petros A. Ioannou,Andreas Pitsillides No preview available - 2007 |
Common terms and phrases
adaptive control adaptive laws agents algorithm applications approach approximation asymptotic stability autonomous average displacement bandwidth behavior bottleneck link chapter Complex Systems computational congestion control congestion window control input control law Control of Complex control problem control strategy convergence coordinate corresponding cost defined denotes density deployment described detection developed distributed docking station domotic dynamic programming dynamic systems environment Equation equilibrium estimate feedback function global graph home automation hysteretic identification IEEE Transactions initial matrix max-min max-min fairness methods minimally Modeling and Control neural networks neurons node nonlinear system optimal control optimization problem output parameters performance persistent formations protocol pyramidal cells Q-learning queue ramp metering Reference robotic team Section sensor networks sensor nodes shown in Figure simulation solution solve space speed stability structure theoretical theory tion traffic flow utilization variables vector vehicles visual cortex Voronoi waves WNT5A