Optimal control (OCl) can be traced back to the 1960s when it was utilised for solving an
optimisation problem (OP). In the OCl technique, a stable controller can be obtained by …

In ultrahigh-voltage (UHV) power substations, mobile robots equipped with sensors and
cameras have been adopted for patrolling and inspecting the operational status of devices …

This paper presents the design, simulation and analysis of a novel LQG and LQG/LTR
control algorithm for the pitch angle of a sounding rocket. These improved LQG and …

Linear quadratic regulator (LQR), a popular technique for designing optimal state feedback
controller, is used to derive a mapping between continuous and discrete time inverse …

Designing a robust aircraft control system used to achieve a good tracking performance and
stable dynamic behavior against working disturbances problem has attracted attention of …

Tail rotor failure is the main reason for a variety of helicopter accidents throughout aviation
history. It is troublesome to control and navigate the helicopter to a predefined landing point …

The paper presents the design and development of a Linear Quadratic Gaussian (LQG)
controller for a longitudinal dynamics of a high maneuvering missile. The Linear Quadratic …

Modern perception-based sensing schemes incorporate machine learning and high-
dimensional image observations to control system states, but face issues of perception error …

Hypersonic vehicle is a typical parameter uncertain system with significant characteristics of
strong coupling, nonlinearity, and external disturbance. In this paper, a combined system …

A self-tuning controller design method, based on the Back Propagation (BP) algorithm, was
proposed to tune the LQG/LTR gain matrices directly without the need of selecting weighting …