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This paper proposes a new method of robust control system design based on Quality Engineering. The appropriate order of the controller in transfer function form and its numerical values of the parameters can be determined by using the proposed method. The method is applied to a benchmark problem of dual-mass/ nonlinear-spring system. The result shows that the controller has comparable robust performance...
The tracking control problem of muscular vessel systems with dynamic uncertainties and unknown parameters is studied. The unknown system parameters are adaptively identified, and the exogenous disturbance is attenuated by Nussbaum-type functions based on the backstepping methods. The derived adaptive robust controller guarantees that the closed-loop system is globally and uniformly bounded, and the...
In this paper, we design an image-based robust controller to compensate uncertainties with image Jacobian and robot dynamics due to uncertain depth measurement and load variations. The proposed controller with eye-in-hand structure has separate terms to compensate each of uncertainties. The ultimately uniform boundedness of the closed-loop system is proved by the Lyapunov method. The performance of...
In this paper, a decentralized sliding mode control approach is applied to the control tasks of vehicles in platoons. Using the well known bicycle model, a robust nonlinear observer is introduced to facilitate the controller design which needs full state measurements. The vehicles in platoons can be treated as an interconnected system with a special form. Observer gain and controller gain are properly...
This papers proposes a novel climate control strategy for mine extraction rooms based on the receding horizon optimal control scheme. Being a model-based procedure, the development of a pertinent prediction model is one of the keystones. According to recent technological advances, we consider that distributed measurements are available and provided by a wireless network. An enhanced modeling approach,...
Building on recent work in sensor-actuator networks and distributed manipulation, we consider the use of pure actuator networks for localization-free robotic navigation. We show how an actuator network can be used to guide an unobserved robot to a desired location in space and introduce an algorithm to calculate optimal actuation patterns for such a network. Sets of actuators are sequentially activated...
A method is presented for the robust control of a disassembly system that undergoes process plan variations due to heterogeneity of demands and product conditions. Two colored timed Petri net (CTPN) models is proposed and extended for the hierarchical modeling of both the system architecture and disassembly plans corresponding to the products to be processed. To address the high levels of uncertainty...
This paper presents an adaptive fuzzy controller for the robust backstepping control of a class of uncertain nonlinear systems in pure-feedback form. The proposed approach incorporates the Nussbaum gain function (NGF) and the dynamic surface control (DSC) into the existing adaptive fuzzy control scheme. The major features of the proposed method are that: 1) the two problems, control directions and...
This paper reports the basic properties and robust control of a vehicle-trailer combination crosswind disturbance conditions. In practice it is known that unstable roll movements may occur, especially with unfavorable combinations of vehicle and trailer conditions, operating slightly above the permissible maximum speed. This may lead to accidents mostly due to improper driver behavior. First we present...
This paper is aimed to application of simple continuous-time robust regulators of PI and PID type designed through general solutions of Diophantine equations in the ring of proper and stable rational functions to control of temperature in laboratory model of hot-air tunnel of which mathematical model is supposed to include parametric uncertainty. One of the main advantages of the proposed algebraic...
The paper deals with robust predictive control based on a LMI approach. With respect to the well established case of linear models, with a global polytopic uncertainty, in the present approach the conservativeness reduction is assured by allowing different local descriptions of the uncertainty. The prediction model can thus be interpreted as a multi-model description of the plant to be controlled...
We consider the adaptive control problem for a class of SISO unknown nonlinear systems in the presence of additive input disturbances, with guaranteed prescribed performance. By prescribed performance we mean that the tracking error should converge to an arbitrarily predefined small residual set, with convergence rate no less than a prespecified value, exhibiting a maximum overshoot less than a sufficiently...
LQG/Loop Transfer Recovery (LQG/LTR) technique based on Kalman filter as observer, has some difficulties in facing with non-minimum phase systems. The main problem is that the observer becomes unstable when the compensator recovers the target loop asymptotically. In this paper, we propose an optimal robust recoverable target loops for a boiler system. Using asymptotic time-scale eigenstructure assignment...
Robust output-feedback simplified adaptive control model following with uncertainties and disturbances is considered. Sufficient conditions for closed-loop stability, model following performance and prescribed Hinfin disturbance attenuation level are introduced, under an almost-strictly-positive-realness requirement on the plant. A numerical example, taken from the field of flight control, demonstrates...
A robust asymptotic output command tracking controller is proposed to control the longitudinal motion of an aircraft model involving atmospheric gusts. The controller covers various flight conditions. The stability derivatives of the aircraft and the velocity of the aircraft are considered to be uncertain parameters. The output of the closed loop system tracks step and ramp type reference signals...
This paper deals with the position and attitude control of a Vega-type space launcher. The first part of the paper develops a general model of the launcher that takes into account the gravity, air density and mass variation. It also derives a linear model with uncertainty for the dominant dynamics, taking the nonlinear characteristics of the system as parametric uncertainty. The second part introduces...
A new approach for the design of robust static output feedback controller for a class of discrete-time Lipschitz nonlinear systems with time-varying uncertainties is proposed based on linear matrix inequalities. The controller has also a guaranteed disturbance attenuation level (Hinfin performance). Thanks to the linearity of the proposed LMIs in both the admissible Lipschitz constant of the system...
This paper deals with modeling and design of reliable controller for a new type diaphragm pump. Because of parameter uncertainties and nonlinear dynamics of the pump model, a fuzzy-like PID controller is designed. The controller design is based on fuzzy Lyapunov synthesis and stability and the robustness analysis of the designed system are straightforward. The pump control system is driven by a digital...
The power absorbed by a wave energy device is depending on the implemented control strategy. Uncertainties in the physical description of the system as well as in the input from irregular waves provide challenges to the control algorithm. In this paper we present a hybrid robust-fuzzy logic controller that allows for addressing the uncertainty in the model as well as the short term tuning of the converter...
This paper deals with intelligent controller design using artificial neural networks (ANN) in the role of feedback controllers. Neural controllers are built up and trained as inverse neural process models. Their performance and robustness are, gradually, improved and augmented by introducing, first, an adaptive simple integrator and, then, a controller with fuzzy integrator part. The proposed ANN...
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