:modeling and control of large-size agent populations
نام نخستين پديدآور
/ Dejan Lj. Milutinovic and Pedro U. Lima
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Berlin ; New York
نام ناشر، پخش کننده و غيره
: Springer,
تاریخ نشرو بخش و غیره
, c2007.
مشخصات ظاهری
نام خاص و کميت اثر
xviii, 124 p. , ill. (some col.) , 24 cm.
فروست
عنوان فروست
(Springer tracts in advanced robotics 1610-7438
مشخصه جلد
; v. 32)
یادداشتهای مربوط به نشر، بخش و غیره
متن يادداشت
Electronic
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references (p. [117]-121) and index.
یادداشتهای مربوط به مندرجات
متن يادداشت
"Cells and Robots is an outcome of the multidisciplinary research extending over Biology, Robotics and Hybrid Systems Theory. It is inspired by modeling reactive behavior of the immune system cell population, where each cell is considered as an independent agent. In our modeling approach, there is no difference if the cells are naturally or artificially created agents, such as robots. This appears even more evident when we introduce a case study concerning a large-size robotic population scenario. Under this scenario, we also formulate the optimal control of maximizing the probability of robotic presence in a given region and discuss the application of the Minimum Principle for partial differential equations to this problem. Simultaneous consideration of cell and robotic populations is of mutual benefit for Biology and Robotics, as well as for the general understanding of multi-agent system dynamics."--BOOK JACKET.
متن يادداشت
1. Introduction -- 2. Immune systems and T-cell receptor dynamics of a T-cell population -- 3. Micro-agent and stochastic micro-agent models -- 4. Micro-agent population dynamics -- 5. Stochastic micro-agent model of the T-cell receptor dynamics -- 6. Stochastic micro-agent model uncertainties -- 7. Stochastic modeling and control of a large-size robotic population -- 8. Conclusions and future work -- A. Stochastic model and data processing of flow cytometry measurements -- B. Estimated T-cell receptor probability density function -- C. Steady state T-cell receptor probability density function and average amount -- D. Optimal control of partial differential equations.
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Robots , Control systems
موضوع مستند نشده
Robotics , Mathematical models
موضوع مستند نشده
T cells , Receptors
موضوع مستند نشده
Electronic books. , local
رده بندی کنگره
شماره رده
E-BOOK
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )