Motivated by the needs of real engineering systems our objective is to analyse and design linear time invariant systems to achieve high performance such as by pole assignment LQ optimisation and H optimisation and to meet several types of prospeci ed constraints The constraints are imposed on the structure of the controller and on the magnitude of the control input and the system state We choos...

anti-lock braking system (abs) is a nonlinear and time varying system including uncertainty, so it cannot be controlled by classic methods. intelligent methods such as fuzzy controller are used in this area extensively; however traditional fuzzy controller using simple type-1 fuzzy sets may not be robust enough to overcome uncertainties. for this reason an interval type-2 fuzzy controller is de...

This technical report presents a method for designing a constrained output-feedback model predictive controller (MPC) that behaves in the same way as an existing baseline stabilising linear time invariant output-feedback controller when constraints are inactive. The baseline controller is cast into an observer-compensator form and an inverse-optimal cost function is used as the basis of the MPC...

When designing robust controllers, H-in nity synthesis is a common tool to use. The controllers that result from these algorithms are typically of very high order, which complicates implementation. However, if a constraint on the maximum order of the controller is set, that is lower than the order of the (augmented) system, the problem becomes nonconvex and it is relatively hard to solve. These...

In this paper, a robust tracking control method for automatic take-off and trajectory tracking of a quadrotor helicopter is presented. The designed controller includes two parts: a position controller and an attitude controller. The attitude controller is designed by using the sliding mode control (SMC) method to track the desired pitch and roll angles, which are the output of position controll...

A new design of nonlinear model predictive controller (NMPC) is proposed for managed pressure drilling (MPD) system. The NMPC is based on output feedback control architecture and employs offset-free formulation proposed in [1]. NMPC uses active set method for computing control inputs. The controller implements an automatic switching from constant bottom hole pressure (CBHP) regulation to flow c...

A new 3D biped prototype with small DOF, SKIPPER, was developed. As an important component of a running controller for this robot, an aerial posture controller is presented. This is the extended version of planar running controller, which was previously developed for a passive one-legged hopping robot, and plays important roll for orbital stabilization at the lowest control layer. The controlle...

Abstract A novel approach for modelling a mine detection robot system is presented in this paper using partial differential equations and Hamilton’s principle. The comprises rigid arm, detecting sensor module, flexible string. addresses the challenges of boundary deflection constraint actuator fault. To overcome these challenges, unique controller developed Barrier Lyapunov function switching s...

In model reference control, the objective is to design a controller such that the closed-loop system resembles a reference model. In the standard model-based solution, a plant model replaces the unknown plant in the design phase. The norm of the error between the controlled plant model and the reference model is minimized. The order of the resulting controller depends on the order of the plant ...