Mathematical control of complex systems 2013

Mathematical control of complex systems have already become an ideal research area for control engineers, mathematicians, computer scientists, and biologists to understand, manage, analyze, and interpret functional information/dynamical behaviours from real-world complex dynamical systems, such as communication systems, process control, environmental systems, intelligent manufacturing systems, transportation systems, and structural systems. This special issue aims to bring together the latest/innovative knowledge and advances in mathematics for handling complex systems. Topics include, but are not limited to the following: control systems theory (behavioural systems, networked control systems, delay systems, distributed systems, infinite-dimensional systems, and positive systems); networked control (channel capacity constraints, control over communication networks, distributed filtering and control, information theory and control, and sensor networks); and stochastic systems (nonlinear filtering, nonparametric methods, particle filtering, partial identification, stochastic control, stochastic realization, system identification)

STRUCTURATION THEORY AND INFORMATION SYSTEMS RESEARCH

Research on the social and organizational aspects of information systems often lacks an adequate theoretical and methodological basis. In this paper, we propose that structuration theory provides a broad conception of social action and human society which can be used as the basis for empiricallyorientated theory and research. A critique is given of some published work, which makes use of the theory, on the introduction of new technology and group decision support systems. A categorization of the use of structuration theory in IS research is proposed and new application areas are identified and discussed, including design and development, strategy formation, user resistance to implementation, and the informating aspects of information systems