Automation, control, and complexity : an integrated approach / edited by Tariq Samad and John Weyrauch

PART 1: AUTOMATION AND PEOPLE

2.: ADVANCED TECHNOLOGY IN COMPLEX SYSTEMS: AUTOMATION, PEOPLE, CULTURE
2.1 Introduction
2.2 What Makes a System Complex
2.3 The Role of Individual Humans in Complex Systems
2.4 Operations Teams and Complex Systems
2.5 Lessons for Managing Automation in Complex Process
Etc.

3: THE HUMAN FACTOR IN COMPLEXITY
3.1 Introduction
3.2 Definitional Issues
3.3 Human Impact of System Complexity
3.4 Strtagies for Mitigating the Human Impact of Complexity
3.5 New Approaches to Mnaging Perceived Complexity
Etc.

4: PERCEIVED COMPLEXITY AND MENTAL MODELS IN HUMAN-COMPUTER INTERACTION
4.1 Introduction
4.2 Mental Models and the Basis of Consistency
4.3 Metaphors as a Means of Reducing Perceived Complexity
4.4 Airplanes a la Mode
4.5 Human-Factored Systems VS. Human -Centered Systems
Etc.

PART 2: SENSING AND CONTROL

5: ACTIVE MULTIMODELING FOR AUTONOMOUS SYTEMS
5.1 Introduction
5.2 Active Multimodels
5.3 Uses of Models
5.4 Types of Models
5.5 Multimodels
Etc.

6: RANDOMIZED ALGORITHMS FOR CONTROL AND OPTIMIZATION
6.1 Introduction
6.2 Statistical Simulation
6.3 Managing Complex Models
6.4 Mnaging Complex Designs
6.5 More Applications
Etc.

7: COMPLEXITY MANAGEMENT VIA BIOLOGY
7.1 Introduction
7.2 The Central Nervous System
7.3 TheCNS as an Intelligent Control System
7.4 Lessons Learned from Biological Brains
7.5 Architectural Outlines
Etc.

8: SENSORS IN CONTROL SYSTEMS
8.1 Introduction
8.2 Sensor Fundamentals and Classifications
8.3 Sensors in Control Systems
8.4 Sensor Technology Developments
8.5 Biological Systems, Chemical Sensors, and Biosensors
Etc.

PART 3: SOFTWARE AND COMPLEX SYSTEMS

9: MANAGING THE COMPLEXITY OF SOFTWARE
9.1 Introduction
9.2 Structuring Decisions
9.3 Automating Dependency Management
9.4 Software Process
9.5 Conclusion

10: AGENTS FOR COMPLEX CONTROL SYSTEMS
10.1 Introduction
10.2 Examples of Complex Control Systems
10.3 Control System Complexity
10.4 Heterogeneity and Integration
10.5 Objects, Components, and Agents
Etc.

11: SYSTEM HEALTH MANAGEMENT FOR COMPLEX SYSTEMS
11.1 Introduction
11.2 Condition-Based Maintenance for Naval Ships
11.3 Details of the MPROS Software
11.4 Progonistic/Diagonistic Algorithms
11.5 Installation and Validation
Etc.

PART 4: COMPLEXITY MANAGEMENT AND NETWORKS

12: CURRENT AND FUTURE DEVELOPMENTS IN AIR TRAFFIC CONTROL
12.1 Introduction
12.2 National Airspace System
12.3 'Free Flight' , the Future of ATM
12..4 Long-Term Challenges in ATM
12.5 Conclusions

13: COMPLEX ADAPTIVE SYSTEMS: CONCEPTS AND POWER INDUSTRY APPLICATIONS
13.1 Introduction
13.2 The Electric Enterprise: Today and Tomorrow
13.3 Complex Adaptive Systems in General
13.4 Simulator for Electrical Power Industry Agents
13.5 Conclusions

14: NATIONAL INFRASTRUCTURE AS COMPLEX INTERACTIVE NETWORKS
14.1 Introduction: Complex Interactive Networks
14.2 Complex Interactive Networks/System Initiatives
14.3 Societal Context: Infrastructures and Population Pressure - a 'Trilemma' of Sustainability
14.4 Genesis: President's Critical Infrastructure Protection Report
14.5 Examples of Complex Interactive Networks
Etc.

15: MULTISCALE NETWORKING, ROBUSTNESS AND RIGOR
15.1 Introduction
15.2 Themes for a New Science
15.3 Illustrative Examples
15.4 Other Examples of Virtual Design and Uncertainty Management
15.5 Conclusions

16: CONCLUSIONS: AUTOMATION, CONTROL, AND COMPLEXITY
16.1 Automation and People
16.2 Sensing and Control
16.3 Software and Complex Systems
16.4 Complexity Management and Networks
16.5 Future Challenges

Includes bibliographical references and index P. 319-328