In this paper, we consider tracking control problems in the presence of actuator saturation. We first show a control law that internally stabilizes the closed-loop system and the tracking error converges to zero in the case where a reference signal is generated by a certain dynamics. The control law is based on the recently developed state dependent gain-scheduling algorithm and makes it possib...

A servocompensator with performance of frequency following is applied to a tracking control system that simulates disk drive tracking systems. In such systems, the misalignment of the disk causes the reference signal to include sinusoidal components. The applied servocompensator is characterized by using signals synchronized with the reference signal in calculating the control input by means of...

This paper studies tracking performance limitations for a networked feedback control system. In the system, the plant is a linear time invariant (LTI) SISO system and the measurement signal is received from a remote site through a network. The reference signal in the tracking problem is a step signal. The tracking performance is measured by an integral square error between the output of the pla...

In this paper we obtain information theoretical conditions for tracking in linear time-invariant control systems. We consider the particular case where the closed loop contains a channel in the feedback loop. The mutual information rate between the feedback signal and the reference input signal is used to quantify information about the reference signal that is available for feedback. This mutua...

The problem of finite-horizon H∞ output-feedback tracking for linear time-varying systems with stochastic state-multiplicative parameter uncertainties is investigated. We consider three tracking patterns depending on the nature of the reference signal i.e : whether it is perfectly known in advance, measured on line or previewed in a fixed time-interval ahead. The stochastic uncertainties appear...

The performance analysis of single-input and single-output (SISO) networked control systems (NCSs) with signal-to-noise ratio (SNR) constraints is presented in this paper. The tracking performance is measured by the energy of the error variance response between the output of the plant and the reference signal. The objective is to obtain an optimal tracking performance, attainable by all possibl...

This paper addresses the tracking of near periodic time varying signals by proposing an integrated approach for simultaneously designing previewed feedforward, feedback, and repetitive control in a unified framework. The design problem is formulated as a μ-synthesis problem, in which the distance between a specified reference model and the achievable tracking performance with feedforward compen...

In this paper, we develop an approach for solving the problem of sliding mode decentralized adaptive state-feedback tracking with continuous control actions for a class of uncertain nonlinear dynamical systems. In addition to the traditional asymptotic zero error tracking specification in the sliding mode decentralized model reference adaptive control (MRAC) problem formulation, here an additio...

In this paper, a new incremental predictive guidance method based on implicit form of velocity to be gained algorithm is proposed. In this approach, the generalized incremental predictive control (GIPC) approach is applied to the linearized model for compensating the guidance error. Instead of using the present state in popular model based predictive controller (MPC), in the new method both pre...