My Wish Lists Login / Join

Lecture Notes in Control and Information Sciences

By: Chuan Ma, W. Murray Wonham, Juan Ma

Write A Review

Paperback | 4 May 2005

At a Glance

Paperback
210 Pages

Dimensions(cm)
22.86 x 15.24 x 1.91

Paperback

$169.00

or 4 interest-free payments of $42.25 with

Ships in 5 to 7 business days

This monograph proposes how to manage complexity by organizing the system as a State Tree Structure (STS). Based on STS, which is an adaptation of statecharts to Supervisory Control Theory, an efficient recursive symbolic algorithm is presented that can perform nonblocking supervisory control design in reasonable time and memory for complex systems. Nonblocking Supervisory Control of State Tree Structures presents how this results in tractable and highly comprehensible controllers, especially to users who are not specialists in Discrete - Event Systems.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

Introduction
State Tree Structures: Basics
Nonblocking Supervisory Control of State Tree Structures
Symbolic Computation of State Tree Structures
The Production Cell Example
The AIP Example
Conclusions and Future Research
Table of Contents provided by Publisher. All Rights Reserved.

Lecture Notes in Control and Information Sciences

At a Glance

Paperback

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Artificial Intelligence

Co-Existence

The Next Phase of AI

AGI Chronicles

The Inside Story of the Race to Create an Artificial Superintelligence

God AI

Boom or Doom? What to Expect When Machines Outsmart Us

The AI Con

How To Fight Big Tech's Hype and Create the Future We Want

Empire of AI

Inside the reckless race for total domination

HBR's 10 Must Reads 2027

The Definitive Management Ideas of the Year from Harvard Business Review (featuring 'The Hidden Beliefs That Hold Leaders Back' by Muriel M. Wilkins)

Nexus

A Brief History of Information Networks from the Stone Age to AI

The Reverse Centaur's Guide to Life After AI

How to Think About Artificial Intelligence Before It's Too Late

The New Age of Sexism

How the AI Revolution is Reinventing Misogyny

The Year in Tech, 2027

The Insights You Need from Harvard Business Review

Agile, DevOps, Testing, Low Code, and AI

Applications to Software Development

Agile, DevOps, Testing, Low Code, and AI

Applications to Software Development

Python Using GPT-5 and Gemini

AI at Work

How to Build a Full Stack Organization

The Coming Wave

AI, Power and the 21st Century's Greatest Dilemma

Co-Intelligence

Living and Working with AI

AI-Driven Plant Biotechnology

AI-Driven Plant Biotechnology

Virtual Reality Therapy in the Metaverse

A Clinician's Guide to Getting Started with Virtual Reality-Based Psychotherapy

AI-Powered Business Analytics

From Data to Decisions

Artificial Intelligence in Physical Education

Disruptions, Dilemmas, and Directions

AI for Public Relations

A How-To Guide for Implementation and Management

Claude For Dummies

Rational Investing

Perspectives from Behavioral Finance, Neuroeconomics and AI

This product is categorised by