Changyin Sun

Wei He

Hejia Gao

Comprehensive treatment of several representative flexible systems, ranging from dynamic modeling and intelligent control design through to stability analysis Fully illustrated throughout, Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems proposes high-efficiency modeling methods and novel intelligent control strategies for several representative flexible systems developed by means of neural networks. It discusses tracking control of multi-link flexible manipulators, vibration control of flexible buildings under natural disasters, and fault-tolerant control of bionic flexible flapping-wing aircraft and addresses common challenges like external disturbances, dynamic uncertainties, output constraints, and actuator faults. Expanding on its theoretical deliberations, the book includes many case studies demonstrating how the proposed approaches work in practice. Experimental investigations are carried out on Quanser Rotary Flexible Link, Quanser 2 DOF Serial Flexible Link, Quanser Active Mass Damper, and Quanser Smart Structure platforms. The book starts by providing an overview of dynamic modeling and intelligent control of flexible systems, introducing several important issues, along with modeling and control methods of three typical flexible systems. Other topics include: Foundational mathematical preliminaries including the Hamilton principle, model discretization methods, Lagrange’s equation method, and Lyapunov’s stability theorem Dynamic modeling of a single-link flexible robotic manipulator and vibration control design for a string with the boundary time-varying output constraint Unknown time-varying disturbances, such as earthquakes and strong winds, and how to suppress them and use MATLAB and Quanser to verify effectiveness of a proposed control Adaptive vibration control methods for a single-floor building-like structure equipped with an active mass damper (AMD) Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems is an invaluable resource for researchers and engineers seeking high-efficiency modeling methods and neural-network-based control solutions for flexible systems, along with industry engineers and researchers who are interested in control theory and applications and students in related programs of study.

Dynamic Modeling and Neural Network-Based Intelligent Control of Flexible Systems

Xiuyang Li

Jianhua Wu

Zuyun Liu

Nutrition and Infections

Hua Peng

Keli Hu

Jiatian Pi

Jun Je

Liping Zhao 

An online neutrosophic similarity-based objectness tracking with a weighted multiple instance learning algorithm (NeutWMIL) is proposed. Each training sample is extracted surrounding the object location, and the distribution of these samples is symmetric. To provide a more robust weight for each sample in the positive bag, the asymmetry of the importance of the samples is considered. The neutrosophic similarity-based objectness estimation with object properties (super straddling) is applied.

Online Visual Tracking ofWeighted Multiple Instance Learning via Neutrosophic Similarity-Based Objectness Estimation

IBM Redbooks

Michael Fitzpatrick

Serge Bourbonnais

Jiong Fan

Xiang Wei Zhou

Any business interruption is a potential loss of revenue. Achieving business continuity involves a tradeoff between the cost of an outage or data loss with the investment required for achieving the recovery point objective (RPO) and recovery time objective (RTO). Continuous system availability requires scalability, as well as failover capability for maintenance, outages, and disasters. It also requires a shift from standby to active-active systems. Active-active sites are geographically distant transaction processing centers, each with the infrastructure to run business operations and with data synchronized by using database replication, such as the Q Replication technology that is part of IBM® InfoSphere® Data Replication software. This IBM Redbooks® publication describes preferred practices and introduces an architecture for continuous availability and disaster recovery that is used by a very large business institution that runs its core business on IBM DB2® for z/OS® databases. This paper explains the technologies and procedures that are required for the implementation of an active-active sites architecture. It also explains an innovative procedure for major IT upgrades that uses Q Replication for DB2 on z/OS, Multi-site Workload Lifeline, and Peer-to-Peer Remote Copy/Extended Distance (PPRC-XD). This paper is of value to decision makers, such as executive and IT architects, and to database administrators who are responsible for design and implementation of the solution.

The Value of Active-Active Sites with Q Replication for IBM DB2 for z/OS An Innovative IBM Client's Experience

Minzhong Yu

Rachida Bouhenni

Shree K. Kurup

Genetic Mutations Associated with Ocular Diseases

Jinkun Liu

The book investigates fundamental issues in flexible manipulator systems, including distributed parameter modeling and boundary controller design. It presents theoretical explorations of several fundamental problems concerning the dynamics and control of these systems. By integrating fresh concepts and results to form a systematic approach to control, it also provides a basic theoretical framework. In turn, the book offers a comprehensive treatment of flexible manipulator systems, addressing topics ranging from related distributed parameter modeling and advanced boundary controller design for these systems with input constraint, to active control with output constraint. In brief, the book addresses dynamical analysis and control design for flexible manipulator systems. Though primarily intended for researchers and engineers in the control system and mechanical engineering community, it can also serve as supplemental reading on the modeling and control of flexible manipulator systems at the postgraduate level.

Distributed Parameter Modeling and Boundary Control of Flexible Manipulators

Wei He

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