Due to the strong nonlinearity, coupling characteristics, external disturbance, and complex
driving conditions, it is difficult to establish an accurate mathematical model for the …

AEROSPACE engineering applications greatly stimulated the development of optimal
control theory during the 1950s and 1960s, where the objective was to drive the system …

Incorporating intelligence in industrial systems can help to increase productivity, cut-off
production costs, and to improve working conditions and safety in industrial environments …

Fuel-cell vehicles (FCVs) with energy storage (ES) device (s) could result in improved
lifetime, performance, fuel economy, and reduced cost. This paper presents the utilization of …

This paper presents an extensive tutorial and a complete review on the state-dependent
Riccati equation (SDRE). The review covers contributions from the beginning to (near the …

The paper studies and compares nonlinear Kalman Filtering methods and Particle Filtering
methods for estimating the state vector of Unmanned Aerial Vehicles (UAVs) through the …

This paper is concerned with the synthesis of a robust gain-scheduled ℋ∞ MIMO vehicle
dynamic stability controller (VDSC) involving both steering and rear braking actuators. This …

Nonlinear effects and external disturbances can severely impact the control of an
autonomous race car at the handling limits. State-of-the-art approaches do not take these …

Motion control of mobile robots and efficient trajectory tracking is usually based on prior
estimation of the robots' state vector. To this end Gaussian and nonparametric filters (state …

This book provides a complete study on neural structures exhibiting nonlinear and
stochastic dynamics. The book elaborates on neural dynamics by introducing advanced …