... of an interval X hybrid and distributed system modeling neural networks nonlinear system modeling maximum-entropy partitioning model abstraction complex systems modeling nonlinear system Algorithm 1 Low-level neural hybrid system modeling ⊳ Maximum entropy partitioning  1...

... and strains with the internal loadings so that they become precisely and accurately defined. Overall, the methodology yields a properly defined set of equations ( N number of equations) for each degree-of-freedom of the complex system. There are several benefits of the HPMBS methodology including closed-form...

... Email: michal.orkisz@pl.abb.com Email: sbutail@niu.edu 18 12 2020 22 06 2021 23 06 2021 16 07 2021 complex systems fault detection and diagnosis robotics Detecting and diagnosing faults in complex equipment such as an industrial robot require technical...

... 2020 18 09 2020 rotary drilling system Lyapunov stability theorem integral sliding mode trajectory control drill-bit and rotary table speed synchronization complex systems control applications dynamics and control energy/power systems flexible structures nonlinear control robust...

.... Finally, we investigate how swarm specifications such as density and average agent velocity affect the system macrostate. agent-based systems complex systems modeling swarm robotics In the following discussions, we define a swarm interaction intensity f and the swarm interaction vector...