{"product_id":"9781441952172","title":"Cooperative Control and Optimization","description":"\u003ch3\u003eApplied Optimization\u003c\/h3\u003e\u003ch1\u003eCooperative Control and Optimization\u003c\/h1\u003e\u003ch3\u003eRobert Murphey | Panos M. Pardalos\u003c\/h3\u003e\u003cdiv\u003e\u003cb\u003eMathematics \/ Optimization\u003c\/b\u003e\u003c\/div\u003e\u003cbr\u003e\u003cdiv\u003eA cooperative system is defined to be multiple dynamic entities  that share information or tasks to accomplish a common, though perhaps  not singular, objective. Examples of cooperative control systems might  include: robots operating within a manufacturing cell, unmanned  aircraft in search and rescue operations or military surveillance and  attack missions, arrays of micro satellites that form a distributed  large aperture radar, employees operating within an organization, and  software agents. The term entity is most often associated with  vehicles capable of physical motion such as robots, automobiles,  ships, and aircraft, but the definition extends to any entity concept  that exhibits a time dependent behavior. Critical to cooperation is  communication, which may be accomplished through active message  passing or by passive observation. It is assumed that cooperation is  being used to accomplish some common purpose that is greater than the  purpose of each individual, but we recognize that the individual may  have other objectives as well, perhaps due to being a member of other  caucuses. This implies that cooperation may assume hierarchical forms  as well. The decision-making processes (control) are typically thought  to be distributed or decentralized to some degree. For if not, a  cooperative system could always be modeled as a single entity. The  level of cooperation may be indicated by the amount of information  exchanged between entities. Cooperative systems may involve task  sharing and can consist of heterogeneous entities. Mixed initiative  systems are particularly interesting heterogeneous systems since they  are composed of humans and machines. Finally, one is often interested  in how cooperative systems perform under noisy or adversary  conditions.\u003cbr\u003e  In December 2000, the Air Force Research Laboratory and the University  of Florida successfully hosted the first Workshop on Cooperative  Control and Optimization in Gainesville, Florida. This bookcontains  selected refereed papers summarizing the participants' research in  control and optimization of cooperative systems.\u003cbr\u003e  \u003cem\u003eAudience:\u003c\/em\u003e Faculty, graduate students, and researchers in  optimization and control, computer sciences and engineering.\u003c\/div\u003e\u003cbr\u003e\u003ctable\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublication Date: \u003c\/td\u003e\n\u003ctd\u003e06 December 2010\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePublisher: \u003c\/td\u003e\n\u003ctd\u003eSpringer US\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eImprint: \u003c\/td\u003e\n\u003ctd\u003eSpringer\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eISBN-13: \u003c\/td\u003e\n\u003ctd\u003e9781441952172\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003eFormat: \u003c\/td\u003e\n\u003ctd\u003ePaperback \/ softback\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003ctr\u003e\n\u003ctd\u003ePage Count: \u003c\/td\u003e\n\u003ctd\u003e308\u003c\/td\u003e\n\u003c\/tr\u003e\n\u003c\/table\u003e","brand":"Springer US","offers":[{"title":"Default Title","offer_id":46539789009036,"sku":"9781441952172","price":98.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0710\/9545\/1788\/files\/9781441952172.jpg?v=1780592468","url":"https:\/\/fh90cf-fv.myshopify.com\/products\/9781441952172","provider":"Late Knight Books and Services, LLC","version":"1.0","type":"link"}