Eyad H. Abed's Advances in Control, Communication Networks, and PDF

By Eyad H. Abed

ISBN-10: 0817643850

ISBN-13: 9780817643850

ISBN-10: 0817644091

ISBN-13: 9780817644093

This unified quantity is a set of invited articles on themes provided on the Symposium on platforms, keep watch over, and Networks, held in Berkeley June 5–7, 2005, in honor of Pravin Varaiya on his 65th birthday. Varaiya is an eminent school member of the collage of California at Berkeley, well known for his seminal contributions in components as diversified as stochastic structures, nonlinear and hybrid platforms, allotted platforms, verbal exchange networks, transportation platforms, energy networks, economics, optimization, and structures education.

The chapters contain fresh effects and surveys via best specialists on subject matters that mirror some of the study and educating pursuits of Varaiya, including:

* hybrid structures and functions

* conversation, instant, and sensor networks

* transportation structures

* stochastic structures

* platforms schooling

Advances up to the mark, verbal exchange Networks, and Transportation Systems will function an exceptional source for working towards and learn engineers, utilized mathematicians, and graduate scholars operating in such parts as verbal exchange networks, sensor networks, transportation structures, keep watch over concept, hybrid structures, and purposes.

Contributors: J.S. Baras * V.S. Borkar * M.H.A. Davis * A.R. Deshpande * D. Garg * M. Gastpar * A.J. Goldsmith * R. Gupta * R. Horowitz * I. Hwang * T. Jiang * R. Johari * A. Kotsialos * A.B. Kurzhanski * E.A. Lee * X. Liu * H.S. Mahmassani * D. Manjunath * B. Mishra * L. Muñoz * M. Papageorgiou * C. Piazza * S.E. Shladover * D.M. Stipanovic * T.M. Stoenescu * X. solar * D. Teneketzis * C.J. Tomlin * J.N. Tsitsiklis * J. Walrand * X. Zhou

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Additional info for Advances in Control, Communication Networks, and Transportation Systems: In Honor of Pravin Varaiya

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Fig. 1 shows the evolution of the projection on x3 and x4 over time. 17 seconds (which includes plotting the result shown in Fig. 1) using MATLAB on a 700MHz Pentium III PC. For comparison, the algorithm proposed in [11] takes 18 seconds using the same parameters. 33) where the initial set X0 and the control input set U are convex polytopes. , φ(x, t) ≤ 13 t where t > 0. The system parameters are defined as follows: 12 I. M. J. Tomlin Fig. 1. The forward reachable set of a four-dimensional linear dynamical system (projection onto x3 and x4 ).

5 shows a conflict scenario in which aircraft 2 tries to enter the unsafe zone. When aircraft 2 reaches the boundary of the unsafe zone, the optimal control input for aircraft 1 can be easily obtained as follows: u∗1 (t) = arg maxu1 ∈D {< Dx v(x, t), −B(t)u1 (t)) >} T = arg maxj < e−A t h1 (0), −Buj1 > . 37) Fig. 6 shows a simulation for conflict resolution between the two aircraft with the initial condition (xr = 10, yr = −20, ψr = 115o ). Since both aircraft behave optimally, the relative position of aircraft 2 moves along the boundary of the unsafe 16 I.

Tiwari and Khanna [6] and Alur et al. [7] proposed predicate abstraction for reachable set computation: this method can be used to extract equivalent finite state This research was supported by DARPA under the Software Enabled Control Program (AFRL contract F33615-99-C-3014), by ONR under MURI contract N00014-02-1-0720, and by an NSF Career Award (ECS-9985072). 4 I. M. J. Tomlin models from complex, infinite state models, which are used to find approximate reachable sets of the original systems. In [8], Hwang et al.

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Advances in Control, Communication Networks, and Transportation Systems: In Honor of Pravin Varaiya by Eyad H. Abed

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