Automatica (Journal of IFAC)
A coordination theory for intelligent machines
Automatica (Journal of IFAC)
An introduction to intelligent and autonomous control
An introduction to intelligent and autonomous control
Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata
Design of Intelligent Control Systems Based on Hierarchical Stochastic Automata
An Innovative Tutorial on Large Complex Systems
Artificial Intelligence Review
Some Reflections on Intelligent Control
Artificial Intelligence Review
Towards autonomic computing systems
Engineering Applications of Artificial Intelligence
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System structuring is paramount to the development of large-scale complex hybrid systems (LCHS). However, there is no well-established and effective methodology for the structuring of LCHS. Using the approach of illustrating and abstracting, this paper investigates the structuring of LCHS based on a wide variety of applications. First, intrinsic attributes of LCHS are explored. Then, a unified framework-based analysis is made of six typical examples of LCHS, i.e. human brain-body systems, autonomous robot systems, autonomous fed-batch reactor systems, human-car driving systems, autonomous urban traffic systems, and autonomous production (manufacturing/industrial process) systems. In this way, common characteristics among typical examples, e.g., perception–decision link, distributing, nesting, hierarchy, multiple gradation and hybrid dynamics over a spectrum of time drivers, and, incidentally, wide application orientations of LCHS, are illustrated. Furthermore, after basic concepts for the modelization of LCHS are formulated, two novel general-purpose information-processing modules are proposed and constructed, called perception cube and decision spheroid. Based on them, a novel block diagram based model is originally proposed and established for LCHS.