Parametric linear hybrid automata for complex environmental systems modeling

Parametric linear hybrid automata for complex environmental systems modeling

Environmental systems, whether they beweather patterns or predator–prey relationships, are dependent on a number different variables, each directly or indirectly affecting the system at large. Since not all of these factors are known, these systems take on non-linear dynamics, making it difficult to accurately predict meaningful behavioral trends far into the future. However, such dynamics do n...

Hybrid Automata for Modeling Discrete Transitions in Complex Dynamic Systems

Hybrid system models combine continuous behavior evolution with discrete mode transitions. These transitions may cause discontinuous changes in the field that defines continuous system behavior and the variable values associated with the continuous state vector. In reality, these discontinuous changes are fast continuous transients. To simplify the analysis of these transients time scale and pa...

Editorial: Hybrid Solutions for the Modeling of Complex Environmental Systems

Complex fuzzy linear systems

Cellular automata modeling of environmental systems

Flow and transport processes in unsaturated soil are analyzed through a simulation environment based on cellular automata (CA). The modeling proposed in this chapter represents an extension of the original computational paradigm of cellular automata, because it uses a macroscopic CA approach where local laws with a clear physical meaning govern interactions among automata. This CA structure, ai...