In the evolving landscape of manufacturing, the integration of intelligent control theory
stands as a pivotal advancement, driving both process optimization and the paradigm of …

Controlling complex nonlinear dynamical systems using traditional methods has always
been a difficult task because the majority of systems seen in nature have intricate nonlinear …

This paper deals with self-adaptive real-time embedded systems (RTES). A self-adaptive
system can operate in different modes. Each mode encodes a set of real-time tasks. To be …

Low-frequency oscillations (LFO) are a significant problem for multi-machine electrical
power system (EPS). These oscillations are undesirable as they reduce the power transfer …

Accurate and efficient real-time simulation of nonlinear dynamic systems remains an
important challenge in fields such as robotics, control systems and industrial processes …

This paper displays the set up and simulation of a compact neuro-fuzzy adaptive scheme for
the filling regulation of two coupled spherical tanks. The suggested scheme employs two …

Known the suspension types Three categories passive suspension, and classified of a semi-
active suspension, and active suspension are used to categorize suspension systems. In the …