Energy is a key driver of the modern economy, therefore modeling and simulation of energy
systems has received significant research attention. We review the major developments in …

This work presents a review of the main deterministic mixed‐integer nonlinear programming
(MINLP) solution methods for problems with convex and nonconvex functions. An overview …

Since the beginning of information processing by electronic components, the nervous
system has served as a metaphor for the organization of computational primitives. Brain …

Spiking neural networks combine analog computation with event-based communication
using discrete spikes. While the impressive advances of deep learning are enabled by …

The Modelica language, targeted at modeling of complex physical systems, has gained
increased attention during the last decade. Modelica is about to establish itself as a de facto …

Mathematical modeling, simulation and optimization techniques had a great impact in the
history of mankind and helped to understand and improve many processes of different kinds …

Co-simulation is a promising approach for the modelling and simulation of complex systems,
that makes use of mature simulation tools in the respective domains. It has been applied in …

Hybrid dynamical systems, ie, systems that have both continuous and discrete states, are
ubiquitous in engineering but are difficult to work with due to their discontinuous transitions …

Consumer goods supply chains have gradually incorporated lean manufacturing principles
to identify and reduce non-value-added activities. Companies implementing lean practices …

The problem of controller synthesis with the objective of stabilizing a continuous stirred tank
reactor (CSTR) with arbitrary switching between two modes, is considered. First, based on …