It has become clear that the automation or labor saving of discrete manufacturing should be considered as the total integrated system. The concept of an integrated manufacturing system (IMS) is proposed. Cooperation a...
详细信息
It has become clear that the automation or labor saving of discrete manufacturing should be considered as the total integrated system. The concept of an integrated manufacturing system (IMS) is proposed. Cooperation among each equipment is the key to integrating the production system as the whole. System control Software plays an essential role in cooperation ired has two main functions, namely, branch and cooperation control, and schedule advance control. Compact IMS application to an induction motor-shaft machining shop has successfully been done to realize the usefulness of system control software.
作者：
BECKER, LOUIS A.SIEGRIST, FRANKLIN I.Louis A. Becker was born in New Rochelle
N.Y. in 1930 receiving his earlier education in the New Rochelle Public Schools. He completed his undergraduate studies at Manhattan College in 1952 receiving his BCE degree during which time he was also engaged in land surveying. Following this he did postgraduate study at Virginia Polytechnic Institute obtaining his MS in 1954. He joined Naval Ship Research and Development Center in 1953 as a Junior Engineer and is currently the Head of the Engineering & Facilities Division Structures Department. His field of specialization is Structural Research and Development. Franklin I. Siegrist was born in Knoxville
Tenn. in 1937 receiving his earlier education in the Public Schools of Erie Pa. He attended Pennsylvania State University graduating in 1962 with a Bachelor of Science degree in Electrical Engineering having prior to that time served four years in the U. S. Navy. He was a Junior Engineer in the AC Spark Plug Division of General Motors from 1962 until 1964 at which time he came to the David Taylor Model Basin as an Electrical Engineer in the Industrial Department. He is currently Supervisory Engineer for Electrical and Electronics Engineering Structures Department Naval Ship Research and Development Center. His field of specialization is Electrical Engineering Control Systems Data Collection Systems Computer Applications to Structural Research and Hydraulic System Design. In the last of these he holds Patent Rights on a “Hydraulic Supercharge and Cooling Circuit” granted in 1970.
Lower bounds are given on the attainable mean-square performance in causally tracking the phase and frequency of a subcarrier that modulates an optical carrier in a direct-detection opticalcommunication system.
Lower bounds are given on the attainable mean-square performance in causally tracking the phase and frequency of a subcarrier that modulates an optical carrier in a direct-detection opticalcommunication system.
A bound is derived on the accuracy in causally estimating a Gaussian process from nonlinear observations. Both additive Gaussian noise and Poisson observations are included. The bound is used to study the control of a...
A bound is derived on the accuracy in causally estimating a Gaussian process from nonlinear observations. Both additive Gaussian noise and Poisson observations are included. The bound is used to study the control of a stochastic linear dynamical system with nonlinear observations of either type and an average quadratic cost. An asymptotic Separation Theorem is established showing that a linear feedback control law, involving a state estimate, is asymptotically optimum as the accuracy of the state estimate approaches the bound. On dérive une limite sur la précision dans l'estimation causale d'un processus gaussien à partir d'observations non-linéaires. Le bruit additif Gaussien aussi bien que les observations de Poisson sont incluses. La limite est utilisée pour étudier le contrôle d'un système dynamique stochastique linéaire avec observations non-linéaires d'un genre ou d'un autre, et un coût moyen quadratique. Un Théorême de Séparation asymptotique est établi montrant qu'une loi de contrôle de rétroaction linéaire impliquant une estimation d'état, est asymptotiquement optimum à mesure que la précision de l'estimation d'état approche la limite. Abgeleitet wird eine Schranke für die Genauigkeit bei der kausalen Schätzung eines Gauß'schen Prozesses aus nichtlinearen Beobachtungen. Sowohl additives Gauß'sches Rauschen als auch Poisson'sche Beobachtungen sind eingeschlossen. Die Schranke wird benutzt, um die Steuerung eines linearen stochastischen dynamischen systems mit nichtlinearen Beobachtungen beider Typen und durchschnittlichen quadratischen Kosten zu studieren. Ein asymptotisches Separationstheorem wird eingeführt, das zeigt, daß ein eine Zustandsschätzung einschließendes lineares Regelungsgesetz asymptotisch optimal ist, so wie sich die Genauigkeit der Zustandsschätzung der Schranke nähert. Бывeдeнa гpaницa тoчнocти пyтeм кayзaльнoй oцeнки гayccoвcкoгo пpoцecca нa ocнoвe нeлинeйныч нaблюдeний. Бключeны aддитивныe вeличины яayccoвcкoгo шyмa и нaблюдeний Пyaccoнa.
This book introduces an optimal iterative learning control (ILC) design framework from the end user's point of view. Its central theme is the understanding of model dynamics, the construction of a procedure for sy...
详细信息
ISBN:
(数字)9783031802362
ISBN:
(纸本)9783031802355;9783031802386
This book introduces an optimal iterative learning control (ILC) design framework from the end user's point of view. Its central theme is the understanding of model dynamics, the construction of a procedure for systematic input updating and their contribution to successful algorithm design. The authors discuss the many applications of ILC in industrial systems, applications such as robotics and mechanical testing.
The text covers a number of optimal ILC design methods, including gradient-based and norm-optimal ILC. Their convergence properties are described and detailed design guidelines, including performance-improvement mechanisms, are presented. Readers are given a clear picture of the nature of ILC and the benefits of the optimization-based approach from the conceptual and mathematical foundations of the problem of algorithm construction to the impact of available parameters in making acceleration of algorithmic convergence possible. Three case studies on robotic platforms, an electro-mechanical machine, and robot-assisted stroke rehabilitation are included to demonstrate the application of these methods in the real-world.
With its emphasis on basic concepts, detailed design guidelines and examples of benefits,
Optimal Iterative Learning control
will be of value to practising engineers and academic researchers alike.
暂无评论