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Systems of Systems & Emergent Properties: Systems & Control Challenges

Explore the emergent properties, design challenges, and evolution of interconnected systems in this research center study.

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Systems of Systems & Emergent Properties: Systems & Control Challenges

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  1. Systems & Control Research Centre School of Mathematics, Computer Sciences & Engineering Systems of Systems & Emergent Properties: Systems & Control Challenges Professor NicosKarcanias Engineering Systems Sustainability 2015 31 March 2015, City University London

  2. EXAMPLES OF SYSTEMS OF SYSTEMS What is a System of Systems ? Air traffic Industrial Production Freeways Transportation SoS: Roads +GPS+ ONSTAR Aircraft

  3. System of Systems • Empirical Characterisation • SoS:A meta-system consisting of multiple autonomous embedded complex systems that can be diverse in: • Technology • Context • Operation • Geography • Conceptual frame Distinctions • An airplane is not SoS, but the design of a new airplane, or an airport is an SoS. • A robot is not a SoS, but a robotic colony (a swarm) is an SoS

  4. KALLICRATIDES NOTION OF THE SYSTEM BASIC ELEMENTS OF THE DEFINITION ● BASIC ELEMENTS, OBJECTS ● RELATIONSHIPS BETWEEN OBJECTS ● PURPOSE OF THE SYSTEM, GOALS ● SYSTEM ENVIRONMENT • ●The Lakonian, and Pythagorean Kallicratides: • («Περί οίκων ευδαιμονίας» (Doric dialect in the Anthology of J. Stobaei,Economicos, 16, 485): • “Any system consists of contrary and dissimilar elements, which unite under one optimum and return to the common purpose”. Examples: ●The system of dance in the singing societies ●The system of the crew in a ship ●The family (the household)

  5. Research Questions QUESTIONS: ●What is systems Complexity ? ●How can you characterise Sustainability as an Emergent property in Complex Systems ? ● How do you formally define Systems of Systems (SoS) ? ● What is the difference of SoSfrom the notion of “composite systems”(CoS) ? ● How do we design, re-design complex systems to improve emergent properties?

  6. EVOLUTIONARY LIFE-CYCLE COMPLEXITY(System & Subprocess Level) EVOLUTIONARY LIFE-CYCLE COMPLEXITY(System & Subprocess Level) UNIT BEHAVIOURAL COMPLEXITY(Subprocess Level) HYBRID BEHAVIOURAL COMPLEXITY(System Level) LARGE- SCALE MULTICOMPONENT COMPLEXITY(system Level) ORGANISATIONAL COMPLEXITY(System Level) COMPUTATIONAL COMPLEXITY (system Level) INTERCONNECTION TOPOLOGY COMPLEXITY(system Level) TOTAL LOCAL COMPLEXITY (System & subprocess Level) DESIGN PROCESS COMPLEXITY(System & Subprocess Level) ENVIRONMENT INDUCED COMPLEXITY (Total Nature) CLASSIFICATION OF TYPES OF COMPLEXITY

  7. Integrated Systems as SoS Designer Risk Assurance Sustainability EMERGENT PROPERTIES Human Resources, Management, Finance SYSTEM OF SYSTEMS Reliability, Maintenance Logistics Systems Safety Quality of Products, Services OPERATIONS LAYER COMMUNICATIONS, INFORMATION LAYER PHYSICAL LAYER

  8. THE INTELLIGENT SYSTEM: Signal Processing, Modelling, Estimation, Computations Decision Making and Control AUTONOMOUS INTELLIGENT AGENT INTERACTION WITH OTHER SYSTEMS OPERATIONAL INSTRUCTIONS OVERALL GOALS INTEGRATED SYSTEM SUPERVISORY ACTIVITIES IDENTIFICATION DECISION Input Influences MODELLING d r' r z CONTROLLER u PLANT y Output Influences CONTROL REALITY ESTIMATION SIGNAL PROCESSING THE INTEGRATED INTELLIGENT SYSTEM

  9. ▲ Composite Systems: Composite notion ● Subsystems are not necessarily integrated. ● An interconnection topology is defined on the information Structures of the subsystems. A Collection of independent systems interacting through an interconnection topology which are part of a central goal defining game. ▲ System of Systems: Composite notion ● Subsystems are integrated systems acting as Independent intelligent agents. + ● The new notion of the “play” is introduced where the subsystems behave as “actors” and possibly lack of system boundaries between subsystems + ● A central Goal, frequently associated with a Game is defined where the subsystems participate as agents subject to the constraints of the play. SYSTEM OF SYSTEMS

  10. SYSTEM PLAY: A RULE, SENARIO DEFINING THE OPERATIONAL RELATIONSHIPS BETWEEN THE INTEGRATED AND INTELLIGENT SUBSYSTEMS APPROACHES FOR CHARACTERISATION OF THE SYSTEMS PLAY: ♦ CO-OPERATIVE CONTROL ♦ MARKET-ECONOMICS BASED COORDINATION TECHNIQUES ♦ POPULATION CONTROL METHODS ♦ COALITION GAMES ● ● ● SYSTEM PLAY AND ITS DESCRIPTION

  11. Research Agenda ♦ CLASSIFICATION OF SoS ♦ METHODS FOR FORMAL CHARACTERISATION OF THE SYSTEM PLAY ACCORDING TO SoS NATURE ♦ SYSTEM ORGANISATION, GOAL AND HOLONICS ♦ FORMALDEFINITION OF EMERGENT PROPERTIES ♦ RE-ENGINEERING SoS ♦DECISION AND CONTROL PROBLEMS ON SoS CHALLENGING APPLICATIONS

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