Peter C. Young

This is a revised version of the 1984 book of the same name but considerably modified and enlarged to accommodate the developments in recursive estimation and time series analysis that have occurred over the last quarter century. Also over this time, the CAPTAIN Toolbox for recursive estimation and time series analysis has been developed at Lancaster, for use in the MatlabTM software environment (see Appendix G). Consequently, the present version of the book is able to exploit the many computational routines that are contained in this widely available Toolbox, as well as some of the other routines in MatlabTM and its other toolboxes. The book is an introductory one on the topic of recursive estimation and it demonstrates how this approach to estimation, in its various forms, can be an impressive aid to the modelling of stochastic, dynamic systems. It is intended for undergraduate or Masters students who wish to obtain a grounding in this subject; or for practitioners in industry who may have heard of topics dealt with in this book and, while they want to know more about them, may have been deterred by the rather esoteric nature of some books in this challenging area of study.

An Introduction for the Student and Practitioner

Recursive Estimation and Time-Series Analysis

C. James Taylor

Arun Chotai

True Digital Control: Statistical Modelling andNon–Minimal State Space Designdevelops a true digitalcontrol design philosophy that encompasses data–basedmodel identification, through to control algorithm design,robustness evaluation and implementation. With a heritage from bothclassical and modern control system synthesis, this book issupported by detailed practical examples based on theauthors’ research into environmental, mechatronic and roboticsystems. Treatment of both statistical modelling and control designunder one cover is unusual and highlights the important connectionsbetween these disciplines. Starting from the ubiquitous proportional–integralcontroller, and with essential concepts such as pole assignmentintroduced using straightforward algebra and block diagrams, thisbook addresses the needs of those students, researchers andengineers, who would like to advance their knowledge of controltheory and practice into the state space domain; and academics whoare interested to learn more about non–minimal state variablefeedback control systems. Such non–minimal state feedback isutilised as a unifying framework for generalised digital controlsystem design. This approach provides a gentle learning curve, fromwhich potentially difficult topics, such as optimal, stochastic andmultivariable control, can be introduced and assimilated in aninteresting and straightforward manner. Key features: Covers both system identification and control systemdesign in a unified manner Includes practical design case studies and simulationexamples Considers recent research into time–variable andstate–dependent parameter modelling and control, essentialelements of adaptive and nonlinear control system design, and thedelta–operator (the discrete–time equivalent of thedifferential operator) systems Accompanied by a website hosting MATLAB examples True Digital Control: Statistical Modelling andNon–Minimal State Space Design is a comprehensive andpractical guide for students and professionals who wish to furthertheir knowledge in the areas of modern control and systemidentification.

Statistical Modelling and Non-Minimal State Space Design

True Digital Control

Martin Fone

The management of risk is a fundamental purpose of government. Whether risks arise from the physical environment, the economic environment, or even from changes in voter preferences, public institutions have a broad responsibility to assess and address the risks that impact the community they serve and their organisation. Public bodies are operating in a dynamic environment. The imposition of a Best Value regime is forcing them not only to perform more efficiently, effectively and responsively but also to develop best practices and benchmarking criteria to demonstrate their performance. At the same time, the ever-increasing delegation of responsibilities from central government and the European Union has widened their exposure to risk. Public institutions are now encouraged to partner with the private sector and outsource some of their traditionally retained services, generating agency and delegation exposures. In such an environment, controlling the cost of risk has become a real priority. But risk management is not just about preventing losses and reducing costs. Increasingly, risk management is defined as the co-ordinated management of all risks. This definition serves to encompass risk-taking where it serves to meet overall organisational objectives. This broader view of risk management, known as 'organisation risk management,' asserts that risk management is a general management function that permeates an organisation, is linked to the organisation's overall strategic plan, and serves to enable the operational achievement of organisational goals and objectives. Under this frame of reference, risk management is not something a risk management department practices on a public body; but rather an organisational value that informs and supports all managers' and employees' duties and activities. Risk management is a central purpose of public institutions. 'Public Sector Risk Management' addresses the major challenges facing public bodies today and provides the basic tools necessary for implementing a risk management programme. It introduces the subject of risk management through the development of a framework known as 'Organisation Risk Management' (ORM), which establishes the premise of risk management as an organisation-wide endeavour. Readers will learn of the governing concepts and principles of ORM in the public sector, but will also see how those concepts and principles translate into practice. Various ready-to-use tools and techniques are provided, which will enable readers to translate information into immediate use within their organisations. 'Public Sector Risk Management' is ideal for practising risk managers, senior managers, and elected members desiring an accessible, but thorough, introduction to the subject . Provides a comprehensive framework for the management of Public Sector Risk Management Endorsed by The Institute of Risk Management (IRM) and by The Association of Local Authority Risk Managers (ALARM) on their public risk management programs

Peter C. Young

Books

Your next favorite book is out there