Proceedings of the Second Congress on Control, Robotics, and Mechatronics
| Author | : Pradeep Kumar Jha |
| Publisher | : Springer Nature |
| Total Pages | : 407 |
| Release | : |
| Genre | : |
| ISBN | : 9819770947 |
Sampling Based Algorithms For Stochastic Optimal Control
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Frontiers in Algorithms
| Author | : D.T. Lee |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 349 |
| Release | : 2010-07-12 |
| Genre | : Computers |
| ISBN | : 3642145523 |
This book constitutes the refereed proceedings of the 4th International Frontiers of Algorithmics Workshop, FAW 2010, held in Wuhan, China, in August 2010. The 28 revised full papers presented together with the abstracts of 3 invited talks were carefully reviewed and selected from 57 submissions. The Workshop will provide a focused forum on current trends of research on algorithms, discrete structures, and their applications, and will bring together international experts at the research frontiers in these areas to exchange ideas and to present significant new results. The mission of the Workshop is to stimulate the various fields for which algorithmics can become a crucial enabler, and to strengthen the ties between the Eastern and Western research communities of algorithmics and applications.
Optimal Control and Optimization of Stochastic Supply Chain Systems
| Author | : Dong-Ping Song |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 282 |
| Release | : 2012-11-29 |
| Genre | : Technology & Engineering |
| ISBN | : 1447147243 |
Optimal Control and Optimization of Stochastic Supply Chain Systems examines its subject the context of the presence of a variety of uncertainties. Numerous examples with intuitive illustrations and tables are provided, to demonstrate the structural characteristics of the optimal control policies in various stochastic supply chains and to show how to make use of these characteristics to construct easy-to-operate sub-optimal policies. In Part I, a general introduction to stochastic supply chain systems is provided. Analytical models for various stochastic supply chain systems are formulated and analysed in Part II. In Part III the structural knowledge of the optimal control policies obtained in Part II is utilized to construct easy-to-operate sub-optimal control policies for various stochastic supply chain systems accordingly. Finally, Part IV discusses the optimisation of threshold-type control policies and their robustness. A key feature of the book is its tying together of the complex analytical models produced by the requirements of operational practice, and the simple solutions needed for implementation. The analytical models and theoretical analysis propounded in this monograph will be of benefit to academic researchers and graduate students looking at logistics and supply chain management from standpoints in operations research or industrial, manufacturing, or control engineering. The practical tools and solutions and the qualitative insights into the ideas underlying functional supply chain systems will be of similar use to readers from more industrially-based backgrounds.
Research Handbook on Inventory Management
| Author | : Jing-Sheng J. Song |
| Publisher | : Edward Elgar Publishing |
| Total Pages | : 565 |
| Release | : 2023-08-14 |
| Genre | : Technology & Engineering |
| ISBN | : 180037710X |
This comprehensive Handbook provides an overview of state-of-the-art research on quantitative models for inventory management. Despite over half a century’s progress, inventory management remains a challenge, as evidenced by the recent Covid-19 pandemic. With an expanse of world-renowned inventory scholars from major international research universities, this Handbook explores key areas including mathematical modelling, the interplay of inventory decisions and other business decisions and the unique challenges posed to multiple industries.
Algorithmic Foundations of Robotics XI
| Author | : H. Levent Akin |
| Publisher | : Springer |
| Total Pages | : 750 |
| Release | : 2015-04-30 |
| Genre | : Technology & Engineering |
| ISBN | : 331916595X |
This carefully edited volume is the outcome of the eleventh edition of the Workshop on Algorithmic Foundations of Robotics (WAFR), which is the premier venue showcasing cutting edge research in algorithmic robotics. The eleventh WAFR, which was held August 3-5, 2014 at Boğaziçi University in Istanbul, Turkey continued this tradition. This volume contains extended versions of the 42 papers presented at WAFR. These contributions highlight the cutting edge research in classical robotics problems (e.g. manipulation, motion, path, multi-robot and kinodynamic planning), geometric and topological computation in robotics as well novel applications such as informative path planning, active sensing and surgical planning. This book - rich by topics and authoritative contributors - is a unique reference on the current developments and new directions in the field of algorithmic foundations.
Stochastic Optimal Control of Structures
| Author | : Yongbo Peng |
| Publisher | : Springer |
| Total Pages | : 327 |
| Release | : 2019-06-27 |
| Genre | : Technology & Engineering |
| ISBN | : 9811367647 |
This book proposes, for the first time, a basic formulation for structural control that takes into account the stochastic dynamics induced by engineering excitations in the nature of non-stationary and non-Gaussian processes. Further, it establishes the theory of and methods for stochastic optimal control of randomly-excited engineering structures in the context of probability density evolution methods, such as physically-based stochastic optimal (PSO) control. By logically integrating randomness into control gain, the book helps readers design elegant control systems, mitigate risks in civil engineering structures, and avoid the dilemmas posed by the methods predominantly applied in current practice, such as deterministic control and classical linear quadratic Gaussian (LQG) control associated with nominal white noises.
Neural Approximations for Optimal Control and Decision
| Author | : Riccardo Zoppoli |
| Publisher | : Springer Nature |
| Total Pages | : 532 |
| Release | : 2019-12-17 |
| Genre | : Technology & Engineering |
| ISBN | : 3030296938 |
Neural Approximations for Optimal Control and Decision provides a comprehensive methodology for the approximate solution of functional optimization problems using neural networks and other nonlinear approximators where the use of traditional optimal control tools is prohibited by complicating factors like non-Gaussian noise, strong nonlinearities, large dimension of state and control vectors, etc. Features of the text include: • a general functional optimization framework; • thorough illustration of recent theoretical insights into the approximate solutions of complex functional optimization problems; • comparison of classical and neural-network based methods of approximate solution; • bounds to the errors of approximate solutions; • solution algorithms for optimal control and decision in deterministic or stochastic environments with perfect or imperfect state measurements over a finite or infinite time horizon and with one decision maker or several; • applications of current interest: routing in communications networks, traffic control, water resource management, etc.; and • numerous, numerically detailed examples. The authors’ diverse backgrounds in systems and control theory, approximation theory, machine learning, and operations research lend the book a range of expertise and subject matter appealing to academics and graduate students in any of those disciplines together with computer science and other areas of engineering.
Robotics Research
| Author | : Masayuki Inaba |
| Publisher | : Springer |
| Total Pages | : 688 |
| Release | : 2016-04-22 |
| Genre | : Technology & Engineering |
| ISBN | : 3319288725 |
This volume presents a collection of papers presented at the 16th International Symposium of Robotic Research (ISRR). ISRR is the biennial meeting of the International Foundation of Robotic Research (IFRR) and its 16th edition took place in Singapore over the period 16th to 19th December 2013. The ISRR is the longest running series of robotics research meetings and dates back to the very earliest days of robotics as a research discipline. This 16th ISRR meeting was held in the 30th anniversary year of the very first meeting which took place in Bretton Woods (New Hampshire, USA) in August 1983., and represents thirty years at the forefront of ideas in robotics research. As for the previous symposia, ISRR 2013 followed up on the successful concept of a mixture of invited contributions and open submissions. 16 of the contributions were invited contributions from outstanding researchers selected by the IFRR officers and the program committee, and the other contributions were chosen among the open submissions after peer review. This selection process resulted in a truly excellent technical program which featured some of the very best of robotic research. These papers were presented in a single-track interactive format which enables real conversations between speakers and the audience. The symposium contributions contained in this volume report on a variety of new robotics research results covering a broad spectrum organized into traditional ISRR categories: control; design; intelligence and learning; manipulation; perception; and planning.
The Elements of Joint Learning and Optimization in Operations Management
| Author | : Xi Chen |
| Publisher | : Springer Nature |
| Total Pages | : 444 |
| Release | : 2022-09-20 |
| Genre | : Business & Economics |
| ISBN | : 3031019261 |
This book examines recent developments in Operations Management, and focuses on four major application areas: dynamic pricing, assortment optimization, supply chain and inventory management, and healthcare operations. Data-driven optimization in which real-time input of data is being used to simultaneously learn the (true) underlying model of a system and optimize its performance, is becoming increasingly important in the last few years, especially with the rise of Big Data.
