By Massimo Franceschetti, Paolo Minero (auth.), Giacomo Como, Bo Bernhardsson, Anders Rantzer (eds.)
ISBN-10: 3319021494
ISBN-13: 9783319021492
ISBN-10: 3319021508
ISBN-13: 9783319021508
Information and regulate in Networks demonstrates the way approach dynamics and knowledge flows intertwine as they evolve, and the valuable function performed through info within the keep watch over of complicated networked structures. it's a milestone at the highway to that convergence from characteristically autonomous improvement of keep watch over conception and data thought which has emerged strongly within the final fifteen years, and is now a really lively learn box. as well as efforts on top of things and data idea, the textual content is witness to robust learn in such diversified fields as laptop technological know-how, arithmetic, and information. facets which are given expert therapy include:
· data-rate theorems;
· computation and keep watch over over verbal exchange networks;
· decentralized stochastic control;
· Gaussian networks and Gaussian–Markov random fields; and
· routability in info networks.
Information and keep watch over in Networks collects contributions from world-leading researchers within the quarter who got here jointly for the Lund middle for keep an eye on of complicated Engineering platforms Workshop in info and regulate in Networks from 17th–19th October 2012; the workshop being the centrepiece of a five-week-long concentration interval at the similar subject. A resource of intriguing cross-fertilization and new principles for vast destiny examine, this quantity should be of serious curiosity to any researcher or graduate scholar drawn to the interplay of keep watch over and knowledge theory.
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Extra info for Information and Control in Networks
Sample text
The rate process is independent of the other quantities describing the system and is causally known at observer and controller. At each time k, a coding function (coder) sk = sk (y0 , . . , yk ) maps all past and present measurements into the set {1, . . , 2rk }. The digital link is mathematically modeled as the identity function on the set {1, . . , 2rk }, so the symbols sk are reliably transmitted without distortion. The received channel outputs are transformed by a decoding function (decoder) uk = xˆk (s0 , .
Springer, Lawrence (2001) 7. J. ): Special issue on Networked Control Systems. IEEE Trans. Autom. Control 49(9) (2004) 1 Elements of Information Theory for Networked Control Systems 35 8. : Control and communication challenges in networked real-time systems. Proc. IEEE 95(1), 9–28 (2007) 9. : LQG Control with Communication Constraints. LIDS-P. Massachusetts Institute of Technology, Laboratory for Information and Decision Systems (1995) 10. : LQG Control with Communication Constraints. Communications, Computation, Control and Signal Processing: A Tribute to Thomas Kailath.
In: ARO Workshop on Smart Structures, Penn. , USA (1999) 6. : Feedback designs in information-based control. In: Pasik-Duncan, B. ) Proceedings of the Workshop on Stochastic Theory and Control. Springer, Lawrence (2001) 7. J. ): Special issue on Networked Control Systems. IEEE Trans. Autom. Control 49(9) (2004) 1 Elements of Information Theory for Networked Control Systems 35 8. : Control and communication challenges in networked real-time systems. Proc. IEEE 95(1), 9–28 (2007) 9. : LQG Control with Communication Constraints.
Information and Control in Networks by Massimo Franceschetti, Paolo Minero (auth.), Giacomo Como, Bo Bernhardsson, Anders Rantzer (eds.)
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