This volume contains a selection of papers presented at the second European workshop EUROCAST '91, held in Krems, Austria, in April 1991. It gives an overview of the current state of Computer Aided Systems Theory research and its relation to CAD applications in the engineering fields. CAST research requires the application of the most advanced information processing technology in software and hardware for the implementation of CAST method base systems. Engineers in the field of information and control engineering have the opportunity in CAST to present the state ofthe art in modeling tools to computer scientists. EUROCAST '91 proved that CAST research is still in an early state of development. The papers in the volume are organized into sections on systems theory and CAST methodology, modeling environments, CAST method base systems and artificial vision, and information and control systems.

This volume contains a selection of papers presented at the third European Computer Aided Systems Theory workshop, EUROCAST '93, held in Spain in February 1993. The workshop emphasizes interdisciplinarity with the specificgoal of creating a synergy between fields such as systems theory, computer science, systems engineering and related areas. The contributions in this volume are strongly related to current problems in CAST research. They emphasize an engineering point of view concerning systems theory. Since the computer is an essential instrument in CAST research, there are close relations to specific topics incomputer science. The papers are grouped into parts on systems theory and systems technology, specific methods, and applications.

This volume presents a collection of revised refereed papers selected from the presentations at the Fourth International Workshop on Computer Aided Systems Theory - CAST '94, held in Ottawa, Ontario, Canada in May 1994. The 31 full papers included in the book were chosen from originally 82 submissions and reflect the state of the art in the area of computer aided systems theory. The volume is divided into sections on foundations, methods, and tools and environments.

Neural computation arises from the capacity of nervous tissue to process information and accumulate knowledge in an intelligent manner. Conventional computational machines have encountered enormous difficulties in duplicatingsuch functionalities. This has given rise to the development of Artificial Neural Networks where computation is distributed over a great number of local processing elements with a high degree of connectivityand in which external programming is replaced with supervised and unsupervised learning. The papers presented in this volume are carefully reviewed versions of the talks delivered at the International Workshop on Artificial Neural Networks (IWANN '93) organized by the Universities of Catalonia and the Spanish Open University at Madrid and held at Barcelona, Spain, in June 1993. The 111 papers are organized in seven sections: biological perspectives, mathematical models, learning, self-organizing networks, neural software, hardware implementation, and applications (in five subsections: signal processing and pattern recognition, communications, artificial vision, control and robotics, and other applications).

The two-volume set LNCS 10671 and 10672 constitutes the thoroughly refereed proceedings of the 16th International Conference on Computer Aided Systems Theory, EUROCAST 2017, held in Las Palmas de Gran Canaria, Spain, in February 2017. The 117 full papers presented were carefully reviewed and selected from 160 submissions. The papers are organized in topical sections on: pioneers and landmarks in the development of information and communication technologies; systems theory, socio-economic systems and applications; theory and applications of metaheuristic algorithms; stochastic models and applications to natural, social and technical systems; model-based system design, verification and simulation; applications of signal processing technology; algebraic and combinatorial methods in signal and pattern analysis; computer vision, deep learning and applications; computer and systems based methods and electronics technologies in medicine; intelligent transportation systems and smart mobility.