Computer Aided Systems Theory - EUROCAST '93

Systems theory and engineering.- Computer-Aided Systems technology: Its role in advanced computerization.- Computer aided nonlinear system design based on algebraic system representation and on nonlinear bundle graphs.- A new model-based approach to the co-design of heterogeneous systems.- Towards an “Erlangen Program” for general linear systems theory.- The shape of complex systems.- Polynomial systems theory for n-D systems applied to vision-based control.- A representation of software systems evolution based on the theory of the General System.- Theoretical considerations about subset descriptions.- Sampled data passive systems.- Computer-Aided Systems Technology for CAD environments: Complexity issues and a repository-based approach.- On requirements for a CAST-tool for complex, reactive system analysis, design and evaluation.- Automating the modeling of dynamic systems.- Formal methods and their future.- Formal description of bus interfaces using methods of system theory.- CAST tools for intelligent control in manufacturing automation.- An algebraic transformation of the minimum automaton identification problem.- On possibilistic automata.- On automatic adjustment of the sampling period.- FSM shift register realization for improved testability.- Cluster-based modelling of processes with unknown qualitative variables.- The role of partitions and functional in descriptor computation for data receptive fields.- On some algorithmic and computational problems for neuronal diffusion models.- Hierarchic representation for spatial knowledge.- Probabilistic models in qualitative simulation.- STIMS-Medtool: Integration of expert systems with systems modelling and simulation.- Systems concept for visual texture change detection strategy.- Qualitative computation with neural nets: Differential equations like examples.- Interpretation-driven low-level parameter adaptation in scene analysis.- General systems theory as a framework for model-based diagnosis.- Technical applications of knowledge-based systems.- CASE — Computer-aided systems engineering, a new approach for developing IM-systems with special consideration of CIM systems.- Modelling and analysis of complex stochastic systems: From a specific example to a general environment.- System theoretic approach to migration of project models.- Computer-aided analysis and design of sequential control in industrial processes.