bluuebunny/crossref_metadata_2025_split huggingface dataset:
Liding Control With Genetic Algorithm for Mismatched Disturbance
Authors: Chang Jeang‐Lin , Li Keh‐Tsong , Chen Yon‐Ping 
Published: September 2010

ABSTRACTThis paper presents a new sliding control to deal with linear systems suffering from matched‐to‐part disturbance and mismatched disturbance. Only parts of the control inputs are designed using the sliding‐mode theory in order to eliminate the matched‐to‐part disturbance. Based on an important criterion, the proposed controller employs the applicable genetic algorithm to effectively reduce the influence of mismatched disturbance during sliding motion. A numeric example is used to demonstrate the effectiveness of the developed controller.
Discrete Sliding‐Mode Control of Mimo Linear Systems
Authors: Chang Jeang‐Lin 
Published: September 2010

ABSTRACTThis paper introduces a discrete sliding‐mode control for linear time‐invariant systems in the presence of matched uncertainties. The switching surface is constructed by applying the pole‐assignment method applying to the overall system, not the system in the sliding mode. Importantly, the control algorithm is derived to handle the rate of convergence to the sliding mode and to prevent the control law from encountering any unreasonably large variations. As for the system stability, it can be found that the system is stabilized and finally restricted to a known region. A numerical example is also included to demonstrate all the features of the developed discrete sliding‐mode control.
Resilient H∞ Control Design for Discrete‐Time Uncertain Linear Systems: An Auxiliary System Transformation Approach
Authors: Yee Jiong‐Sang , Wang Jian Liang , Yang Guang‐Hong 
Published: September 2010

ABSTRACTThis paper studies the resilient (non‐fragile) H∞ output‐feedback control design for discrete‐time uncertain linear systems with controller uncertainty. The design considers parametric norm‐bounded uncertainty in all state‐space matrices of the system, output and controller equations. The paper shows that the resilient H∞ output‐feedback control problem is equivalent to a scaled H∞ output‐feedback control problem of an auxiliary system without any system or controller uncertainty. Using the existing optimal H∞ design to solve the auxiliary system, the design guarantees that the resultant closed‐loop systems are quadratically stable with disturbance attenuation γ for all admissible system and controller uncertainties. A numerical example is given to illustrate the design method and its benefits.
Recursive Back‐Stepping Design of An Adaptive Fuzzy Controller for Strict Output Feedback Nonlinear Systems
Authors: Wang Wei‐Yen , Chan Mei‐Lang , Lee Tsu‐Tian , Liu Cheng‐Hsin 
Published: September 2010

ABSTRACTIn this paper, a back‐stepping adaptive fuzzy controller is proposed for strict output feedback nonlinear systems. The unknown nonlinearity and external disturbances of such systems are considered. We assume that only the output of the system is available for measurement. As a result, two filters are constructed to estimate the states of strict output feedback systems. Since fuzzy systems can uniformly approximate nonlinear continuous functions to arbitrary accuracy, the adaptive fuzzy control theory combined with a tuning function scheme is developed to derive the control laws of strict output feedback systems that possess unknown functions. Moreover, the H∞ performance condition is introduced to attenuate the effect of the modeling error and external disturbances. Finally, an example is simulated in order to confirm the applicability of the proposed method.
H∞ Control and Sliding Mode Control of Magnetic Levitation System
Authors: Shen Jing‐Chung 
Published: September 2010

ABSTRACTIn this paper, H∞ disturbance attenuation control and sliding mode disturbance estimation and compensation control of a magnetic levitation system are studied. A magnetic levitation apparatus is established, and its model is measured. Then the system model is feedback linearized. A H∞ controller is then designed. For comparison, a sliding mode controller and a PID controller also were designed. Some experiments were performed to compare the performance of the H∞ controller, the sliding mode controller and the PID controller.
Output Feedback Sliding Mode Controller Design Via H∞ THEORY
Authors: Chang Jeang‐Lin 
Published: September 2010

ABSTRACTFor a linear system with mismatched disturbances, a sliding mode controller using only output feedback is developed in this paper. Through application of the H∞ control theory, the designed switching surface can achieve robust stabilization and guarantee a level of disturbance rejection during sliding mode. Although the system exhibits disturbances, a state estimator is used which, using only measured outputs, can asymptotically estimate the system states. The control law is designed with respect to the estimated signals. Finally, a numerical example is presented to demonstrate the proposed control scheme.
Pid Regulation Of Robot Manipulators With Elastic Joints
Authors: Alvarez‐Ramirez Jose , Cervantes Ilse 
Published: September 2010

ABSTRACTThis paper studies the stability of a class of PID controller to stabilize robot manipulators with elastic joints. It is shown that a PD action on the rotor position and an integral control action on the link position suffice to provide semiglobal asymptotic stability of the desired link position.
Digital Redesign Of Continuous‐Time Suboptimal Tracker For Two‐Dimensional Systems
Authors: Li Jimshone , Tsai Jason Sheng‐Hong , Shieh Leang‐San 
Published: September 2010

ABSTRACTIn this paper, the digital redesign of a continuous suboptimal tracker for the two‐dimensional (2‐D) systems is proposed. This paper presents a new optimal digital redesign technique of 2‐D systems for finding a dynamic digital control law from the given continuous‐time 2‐D systems by minimizing a quadratic cost function (performance index). We directly convert the original continuous‐time 2‐D quadratic cost function into the discretized form and solve the optimization problem in the discrete‐time domain. The developed optimal digital redesign control law enables the output of the digitally controlled closed‐loop systems to closely match the reference signal for 2‐D systems, and it can be easily implemented using microcomputers. An illustrative example is presented to demonstrate the effectiveness of the proposed procedure.
Reliable State Feedback Control Synthesis For Uncertain Linear Systems
Authors: Yang Guang‐Hong , Wang Jian Liang , Soh Yeng Chai , Lou Kok‐Yong 
Published: September 2010

ABSTRACTThis paper is concerned with the problem of designing reliable state‐ feedback control for a class of uncertain linear systems with norm bounded uncertainty. A procedure for designing reliable state‐feedback control is presented for the case of actuator faults that can be modeled by a scaling factor. In the design, the performance of the normal system (without fault) is optimized, as the considered system operates under the normal condition most of the time. In addition, when actuator faults occur, the closed‐loop system retains robust stability and satisfies a known quadratic performance bound. A numerical example is provided to illustrate the effectiveness of the proposed design method.
On Velocity‐Based Local Model Networks For Nonlinear Identification
Authors: McLoone Séamus C. , Irwin George W. 
Published: September 2010

ABSTRACTThis paper exposes the strengths and weaknesses of the recently proposed velocity‐based local model (LM) network. The global dynamics of the velocity‐based blended representation are directly related to the dynamics of the underlying local models, an important property in the design of local controller networks. Furthermore, the sub‐models are continuous‐time and linear providing continuity with established linear theory and methods. This is not true for the conventional LM framework, where the global dynamics are only weakly related to the affine sub‐models. In this paper, a velocity‐based multiple model network is identified for a highly nonlinear dynamical system. The results show excellent dynamical modelling performances, highlighting the value of the velocity‐based approach for the design and analysis of LM based control. Three important practical issues are also addressed. These relate to the blending of the velocity‐based local models, the use of normalised Gaussian basis functions and the requirement of an input derivative.
Regularizability Of Linear Descriptor Systems Via Output Plus Partial State Derivative Feedback
Authors: Duan Guang‐Ren , Zhang Xian 
Published: September 2010

ABSTRACTRegularizability of a linear descriptor system via output plus partial state derivative feedback is studied. Necessary and sufficient conditions are obtained, which are only dependent upon the open‐loop coefficient matrices. It is also shown that under these necessary and sufficient conditions, “almost all” output plus partial state derivative feedback controllers can regularize a regularizable linear descriptor system. The proposed conditions generalize many existing results. The presented example demonstrates the proposed results.
Computationally Efficient Algorithm For Frequency‐Weighted OptimalH∞Model Reduction
Authors: Wu Fen , Jaramillo Juan J. 
Published: September 2010

ABSTRACTIn this paper, a frequency‐weighted optimalH∞model reduction problem for linear time‐invariant (LTI) systems is considered. The objective of this class of model reduction problems is to minimizeH∞norm of the frequency‐weighted truncation error between a given LTI system and its lower order approximation. A necessary and sufficient solvability condition is derived in terms of LMIs with one extra coupling rank constraint, which generally leads to a non‐convex feasibility problem. Moreover, it has been shown that the reduced‐order model is stable when both stable input and output weights are included, and its state‐space data are given explicitly by the solution of the feasibility problem. An efficient model reduction scheme based on cone complementarity algorithm (CCA) is proposed to solve the non‐convex conditions involving rank constraint.
Robust H∞ Filtering For Uncertain Stochastic Time‐Delay Systems
Authors: Xu Shengyuan , Chen Tongwen 
Published: September 2010

ABSTRACTThis paper deals with the problem of robust H∞ filtering for uncertain stochastic systems. The system under consideration is subject to time‐varying norm‐bounded parameter uncertainties and unknown time delays in both the state and measurement equations. The problem we address is the design of a stable filter that ensures the robust stochastic stability and a prescribed H∞ performance level for the filtering error system irrespective of all admissible uncertainties and time delays. A suffient condition for the solvability of this problem is proposed and a linear matrix inequality approach is developed for the design of the robust H∞ filters. An illustrative example is provided to demonstrate the effctiveness of the proposed approach.
Toward The Implementation Of A Seek‐Controller For An Optical Pick‐Up Head Using A Discrete Sliding‐Mode Control Scheme
Authors: Tai Tsang‐Li , Chen Jian‐Shiang 
Published: September 2010

ABSTRACTChattering is inevitable in most sliding‐mode controllers due to finite and imperfect switching. Most of the discrete‐time sliding‐mode schemes reported to date fail to alleviate chattering effectively; even under perturbation‐free conditions, chattering is still inevitable. This present work proposes a scheme that can guarantee both one‐sided behavior and chattering‐free performance with uncertainties of the known bounds of the plant. This scheme is applied to the design of a seek‐controller for an optical pick‐up head to illustrate its feasibility. Both simulation and experimental studies were performed to further validate its effectiveness.
Robust Stability For Uncertain Discrete Singular Systems With State Delay
Authors: Xu Shengyuan , Lam James 
Published: September 2010

ABSTRACTA computationally simple stability condition for discrete singular systems with state delay is presented in this paper. Based on this, a robust stability result for such systems with structured parametric uncertainties is given. This condition ensures that, for all admissible uncertainties, the system under consideration is regular, causal and stable. Then D‐stability results for discrete singular delay systems are obtained. All the proposed conditions are easy to test.
Period And Priority Assignment Method For Dcs Design
Authors: Kim Hyoung Yuk , Park Hong Seong 
Published: September 2010

ABSTRACTDistributed control systems (DCS) used in industry environments consist of sensors, actuators, and controllers that are connected with a fieldbus. It is difficult to design the DCS while guaranteeing the time‐critical requirements because of both communication delays due to the fieldbus and computation delays due to many tasks executed in one node. This paper proposes a priority assignment method and a period assignment method that find the shortest periods of control loops and guarantee the end‐to‐end constraints such as precedence constraints and timing constraints. Also, a DCS design method is presented by using the proposed two assignment methods. The presented design method considers the worst‐case response times of tasks and messages simultaneously and is applicable to a practical DCS, which consists of several constraints. The design method is validated by examples.
SLIDING MODES, Δ‐MODULATORS, AND GENERALIZED PROPORTIONAL INTEGRAL CONTROL OF LINEAR SYSTEMS
Authors: Sira‐Ramírez Hebertt 
Published: September 2010

ABSTRACTIn this article, we attempt a reapproachment between sliding mode control of linear systems and classical control through the possibilities of evading state measurements and circumventing the use of asymptotic state observers in the sliding surface synthesis. This is shown to be possible thanks to the use of integral state reconstructors combined with iterated integral output error compensation. The proposed scheme is also robust with respect to unmatched perturbation inputs. A connection between sliding modes and classical analog Δ‐modulators, and their natural generalization, is also brought to attention as a tool for the realization of integral reconstructor based sliding mode control schemes.
AN ASYMPTOTIC SECOND‐ORDER SMOOTH SLIDING MODE CONTROL
Authors: Shtessel Yuri B. , Shkolnikov Ilya A. , Brown Mark D.J. 
Published: September 2010

ABSTRACTPresented is a method of smooth sliding mode control design to provide for an asymptotic second‐order sliding mode on the selected sliding surface. The control law is a nonlinear dynamic feedback that in absence of unknown disturbances provides for an asymptotic second‐order sliding mode. Application of the second‐order disturbance observer in a combination with the proposed continuous control law practically gives the second‐order sliding accuracy in presence of unknown disturbances and discrete‐time control update. The piecewise constant control feedback is “smooth” in the sense that its derivative numerically taken at sampling rate does not contain high frequency components. A numerical example is presented.
IMPLICIT TRIANGULAR OBSERVER FORM DEDICATED TO A SLIDING MODE OBSERVER FOR SYSTEMS WITH UNKNOWN INPUTS
Authors: Boukhobza T. , Djemai M. , Barbot J.P. 
Published: September 2010

ABSTRACTIt has been presented in previous works that every uniformly observable single‐output system can be put on a triangular observation form. For this structure a special kind of sliding mode observer has been designed by authors, which ensures a finite‐time state reconstruction using a step by step observation algorithm. In this paper, we show that the multi‐output case is more delicate to study especially when the system has some unknown inputs. Thus, in order to generalizes the triangular observer form, from single to multi‐output case, we define an Implicit Triangular Observer (ITO) form. For such a form, two results are given. Firstly, we design a finite time converging observer for all values of the unknown inputs. Secondly, we give the necessary and sufficient condition, including a matching condition, for the existence of a coordinate change to put the system into this form. It is also shown that this class of systems is a subset of the uniform observable class of systems.
FUZZY SLIDING MODE CONTROL WITH PIECEWISE LINEAR SWITCHING MANIFOLD
Authors: Dotoli Mariagrazia 
Published: September 2010

ABSTRACTVariable Structure Control (VSC) has been successfully established in control systems engineering in the past two decades. Recently, Fuzzy Sliding Mode Control (FSMC) techniques have drawn the attention of the scientific community, due to their effectiveness in reducing the typical chattering phenomenon arising in VSC. In this paper we present a novel FSMC technique for a class of second order dynamical systems based on a piecewise linear sliding manifold. The proposed approach enhances the effectiveness of VSC in the presence of a saturated control input. In addition, employing the proposed VSC with fuzzy rule based algorithms results in smooth dynamics when the trajectory is in the vicinity of the switching manifold, as opposed to the typical chattering arising under classical VSC. After illustrating the proposed strategy on a simple design example, the approach is applied to an inverted pendulum, a well‐known benchmark for automatic control techniques. The effectiveness of the technique is shown both by means of simulation tests and experiments on a lab equipment. Future research directions include the extension of the technique in the presence of uncertainties in the plant model.
MODEL‐REFERENCE OUTPUT‐FEEDBACK SLIDING MODE CONTROLLER FOR A CLASS OF MULTIVARIABLE NONLINEAR SYSTEMS
Authors: Hsu Liu , Costa Ramon R. , da Cunha José Paulo Vilela Soares 
Published: September 2010

ABSTRACTThis paper proposes an output‐feedback sliding mode control design for a class of uncertain multivariable plants with nonlinear disturbances. The approach used here is based on the control parameterization employed in model‐reference adaptive control. The disturbances are allowed to be unmatched and to depend not only on the plant output but also on its unmeas‐urable state. A less restrictive condition on the uncertainty of the high frequency gain matrix is also obtained.
SLIDING MODE CONTROL SYNTHESIS OF UNCERTAIN TIME‐DELAY SYSTEMS
Authors: Orlov Y. , Perruquetti W. , Richard J.P. 
Published: September 2010

ABSTRACTSliding mode control synthesis is developed for a class of uncertain time‐delay systems with nonlinear disturbances and unknown delay values whose unperturbed dynamics is linear. The synthesis is based on a new delay‐dependent stability criterion. The controller constructed proves to be robust against sufficiently small delay variations and external disturbances. An admissible upperbound such that the corresponding closedloop system remains globally asymptotically stable for each delay value less than this up‐perbound is derived. Performance issues of the controller are illustrated in a simulation study.
ROBUSTNESS ANALYSIS ON SLIDING MODE CONTROL OF INDUCTION MOTOR
Authors: Chekireb H. , Tadjine M. , Djemaï M. 
Published: September 2010

ABSTRACTThe aim of this paper is to establish that flux‐speed sliding mode control of induction machine is robust in the presence of saturation of magnetic core and rising resistance effects. Further, we show how to select the free control design parameters in order to maintain sliding mode regime. Simulation results are given to point out the good performances and the robustness of the studied control system. These simulations results are performed in the presence of hard disturbances represented by increasing of rotor resistances (by an amount 100%), and by decreasing stator and rotor inductance (respectively by an amount 25% and 50%)
SECOND ORDER SLIDING MODE CONTROL OF A DIESEL ENGINE
Authors: Khan M. Khalid , Goh Keng Boon , Spurgeon Sarah K. 
Published: September 2010

ABSTRACTA 2nd order sliding mode algorithm is applied to control the speed of a diesel power generator set. Tuning guidelines are given. The robustness of the controller is investigated and the performance of the 2nd order sliding mode controller is compared with that obtained by a commercial diesel engine controller and a classical proportional‐integral (PI) controller. Robustness to unmodelled dynamics is discussed and implementation results presented.
A COMBINED SLIDING MODE‐GENERALIZED PI CONTROL SCHEME FOR SWINGING UP AND BALANCING THE INERTIA WHEEL PENDULUM
Authors: Hernández Victor M. 
Published: September 2010

ABSTRACTIn this note we propose a control strategy which combines sliding modes and generalized PI (GPI) control for the swinging up, and stabilization around its unstable vertical position of the inertia wheel pendulum. Both tasks are achieved using a single controller. The pendulum angular position is assumed to be the only measured output variable. We show that this control scheme is robust with respect to constant torque disturbances. The proposed controller is used in an actual experimental setup.
TRADE‐OFF BETWEEN APPROXIMATION ACCURACY AND COMPLEXITY FOR TS FUZZY MODELS
Authors: Baranyi Péter , Korondi Péter , Patton Ron J. , Hashimoto Hideki 
Published: September 2010

ABSTRACTThis paper proposes a transformation method that serves the trade‐off between the modelling complexity and accuracy of multi‐variable Takagi‐Sugeno fuzzy inference operator‐based modelling (TS fuzzy modelling). The relation between the number of fuzzy rules and the modelling accuracy is defined in the paper. The proposed transformation method is capable of finding the minimal number of fuzzy rules for a given accuracy of a given TS fuzzy model. A case study, focusing on a benchmark problem of fault diagnosis, developed in the framework of EC‐founded Research Training Network DAMADICS, of an actuator in a sugar factory, is presented to provide feasibility of the proposed method.
ROBUST ADAPTIVE CONTROL WITH MULTIPLE ESTIMATION MODELS FOR STABILIZATION OF A CLASS OF NON‐INVERSELY STABLE TIME‐VARYING PLANTS
Authors: Alonso‐Quesada S. , de la Sen M. 
Published: September 2010

ABSTRACTThis paper presents an indirect adaptive control scheme for nominally stabilizable non‐necessarily inversely stable continuous‐time systems with unmodelled dynamics. The control objective is the adaptive stabilization of the closed‐loop system with the achievement of a bounded tracking‐error between the system output and a reference signal given by a stable filter. The adaptive control scheme includes several estimation algorithms and a supervisor which selects the appropriate estimator at every certain time and keeping it operating for at least a minimum period of residence time. This selection is based on a performance criterion related to a measure of the estimation errors obtained with each estimator. In this way, the performance of the output signal is improved with regard to the performance achieved with a unique estimation algorithm. All the estimators are either of the least‐squares type or gradient type. However, any well‐posed estimation algorithm is potentially valid for application. These estimators include relative dead‐zones for robustness purposes and parameter ‘a posteriori’ modifications to ensure the controllability of the estimated models of the plant, which is crucial for proving the stabilizability of the plant via adaptive pole‐placement designs.