This monograph aims to present the recent advances in state estimation, in terms of relaxing the conventional assumption that probability densities remain Gaussian. The book explains how MCC is integrated into the conventional Bayesian estimation framework and their implementation to real-life problems.Features:Reviews well-established non-Gaussian estimation methods including applications of techniquesCovers relaxation of gaussian assumption

This book provides overview of numerous control schemes for non-minimum phase and dead-time systems. The inverse response arises from the conflict of two first-order systems with opposite effects. This feature of the system is known as non-minim phase (NMP) process. The opposite response initiates from odd multiplicity of NMP open-loop zeros. As a result, the controller shows a limited gain margin and bandwidth, implying a robustness restriction. If the user tries to increase the gain, sys...

This book discusses the dynamics of a tail-sitter quadrotor and biplane quadrotor-type hybrid unmanned aerial vehicles (UAVs) and, based on it, various nonlinear controllers design like backstepping control (BSC), ITSMC (Integral Terminal Sliding Mode Control), and hybrid controller (BSC + ITSMC). It discusses single and multiple observer-based control strategies to handle external disturbances like wind gusts and estimate states. It covers the dynamics of slung load with a biplane quadrot...