Differential-Difference Equations. By Richard Bellman and Kenneth L. Cooke. Pp. xvi, 465. 1963. (Academic Press)

This book, written by two major figures in adaptive control, provides a wealth of material for researchers, practitioners, and students. While some researchers in adaptive control may note the absence of a particular topic, the book‘s scope represents a high-gain instrument. It can be used by designers of control systems to enhance their work through the information on many new theoretical developments, and can be used by mathematical control theory specialists to adapt their research to practical needs. The book is strongly recommended to anyone interested in adaptive control.

Adaptive Control

One of the most critical issues in mental health services research is the gap between what is known about effective treatment and what is provided to consumers in routine care. Concerted efforts are required to advance implementation science and produce skilled implementation researchers. This paper seeks to advance implementation science in mental health services by over viewing the emergence of implementation as an issue for research, by addressing key issues of language and conceptualization, by presenting a heuristic skeleton model for the study of implementation processes, and by identifying the implications for research and training in this emerging field.

/pdf/implementation-research-in-mental-health-services-an-l0vne0s72v.pdf

Implementation Research in Mental Health Services: an Emerging Science with Conceptual, Methodological, and Training challenges

Networked control systems (NCSs) have been one of the main research focuses in academia as well as in industry for many decades and have become a multidisciplinary area. With these growing research trends, it is important to consolidate the latest knowledge and information to keep up with the research needs. In this paper, the NCS and its different forms are introduced and discussed. The beginning of this paper discusses the history and evolution of NCSs. The next part of this paper focuses on different fields and research arenas such as networking technology, network delay, network resource allocation, scheduling, network security in real-time NCSs, integration of components on a network, fault tolerance, etc. A brief literature survey and possible future direction concerning each topic is included.

Networked Control System: Overview and Research Trends

Complexity and Approximation

A method, apparatus and computer program product for storing data in a disk storage system is presented. A high-performance dictionary data structure is defined. The dictionary data structure is stored on a disk storage system. Key-value pairs can be inserted and deleted into the dictionary data structure. Updates run faster than one insertion per disk-head movement. The structure can also be stored on any system with two or more levels of memory. The dictionary is high performance and supports with full transactional semantics, concurrent access from multiple transactions, and logging and recovery. Keys can be looked up with only a logarithmic number of transfers, even for keys that have been recently inserted or deleted. Queries can be performed on ranges of key-value pairs, including recently inserted or deleted pairs, at a constant fraction of the bandwidth of the disk.

High-Performance Streaming Dictionary

We provide a general framework for networked control systems (NCSs) and review previous theoretical results for NCS co-design. We present experimental studies of control and feedback scheduling of NCSs, consisting of dynamic system simulations for the control agents and environment and packet-level network simulations for the communications. To this end, we have extended the ns-2 release in order to simulate the transmissions of plants and controllers that are modeled by ODEs (solved via a linked package). Our results show the overall control and network performances achieved while modeling the individual control and network components. Major co-design issues, such as scalability and network heterogeneity, are explored.

Networked control system co-simulation for co-design

Previous observational research confirms abundant variation in primary care practice. While variation is sometimes viewed as problematic, its presence may also be highly informative in uncovering ways to enhance health care delivery when it represents unique adaptations to the values and needs of people within the practice and interactions with the local community and health care system. We describe a theoretical perspective for use in developing interventions to improve care that acknowledges the uniqueness of primary care practices and encourages flexibility in the form of intervention implementation, while maintaining fidelity to its essential functions.

https://www.familycarenetwork.com/sites/default/files/Litaker%20Complexity%20Theory%20to%20build%20practice.pdf

Using Complexity Theory to Build Interventions that Improve Health Care Delivery in Primary Care

The smart power grid will extensively rely on networked control to increase efficiency, reliability, and safety; to enable plug-and-play asset integration, such as in the case of distributed generation and alternative energy sources; to support market dynamics as well as reduce peak prices and stabilize costs when supply is limited. In turn, network control requires an advanced communication infrastructure with support for security and real-time communication. This paper reviews the major challenges in smart grid communication, and proposes PowerNet, a system of heterogeneous yet interoperable networks that provides adequate levels of realtime performance, reliability, and security, and that exploits current investments in software and hardware. Smart grid communication involves disparate designs and complex issues, and it can be effectively evaluated through co-simulation. The paper describes a co-simulator that combines extensive support for power device models and for communication models, and highlights current work in the area.

/pdf/smart-grid-communication-and-co-simulation-2m6rqko4ig.pdf

Vincenzo Liberatore

Papers

High-Performance Streaming Dictionary

Networked control system co-simulation for co-design

Using Complexity Theory to Build Interventions that Improve Health Care Delivery in Primary Care

Smart grid communication and co-simulation

On Local Register Allocation