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The aim of this note is to study robust non-fragile stabilization and robust non-fragile D-stabilization for the delta-operator formulated linear uncertain systems. The uncertainty is assumed to be norm-bounded and multiplicative controller gain variations are assumed in existence in the state feedback gain. Based on the notion of non-fragile quadratic stabilizability, a criterion of robust non-fragile...
In order to raise or guarantee the precision and dynamic stiffness of AMB spindle units mounted on the complex structures, a new method called relative and absolute hybrid motion control is advanced. The model of multi-degree of freedom (MDOF) system was built and analyzed, the natural frequency and modal shapes were calculated. The hybrid control system of the base structure-AMB-rotor system was...
This paper concerns the design problem of reliable Hinfin control for discrete-time systems with circular pole constraints. A reliable controller design method is developed. This method is based on Hinfin performance and multiobjective optimization in terms of LMI. A given Hinfin performance bound of the actuator failure cases is guaranteed and the performance in the normal case is optimized. Simulation...
A new Cerebellar Model Articulation Controller (CMAC) neural network (NN) adaptive controller is proposed for the tracking control of the uncertain Industrial Manipulators based on desired compensation, which approach the desired model smoothly by using expended 2th-order B-spline CMAC NN. The desired inputs eliminate the assumption on CMAC NN inputs which needed in conventional neuro-adaptive controller...
In this paper, by using backstepping technique, the adaptive fuzzy dynamic surface control problem is discussed for a class of unknown multivariable nonlinear systems which the control gains are unknown. By the special design scheme, the ldquoexplosion of complexityrdquo problem is avoided. Furthermore, the closed loop signals are guaranteed uniformly ultimate boundedness, and the tracking error arbitrarily...
In digital system, a full-closed-loop configuration using a tachometers and an analog-digital converter with low resolution results in bad speed control and therefore influences the positioning performance in a high-precision positioning system. However, on the other hand, speed information cannot be accurately obtained through the encoder using traditional estimations. In this paper, we proposed...
For high speed high accuracy 3D machining, the controller design is very important. The object of the control system is to minimize the contour error which is related to the tracking error of each individual servo axis. From the analysis of the tracking error, both the phase delay and the gain difference generate tracking error. In this paper we propose a new relay auto-tuning method for the tracking...
Considering unknown systems with time-delay, a neural network approach for on-line parameter estimation is presented. The unknown steady-state gain and time-delay of the systems are estimated on-line by Adaline network and then used to modify parameters of Smith predictor in real-time. An adaptive neuron controller based on fuzzy tuning and genetic algorithm is designed in this paper. Fuzzy rules...
In this paper, both indirect and direct adaptive fuzzy controllers with variable structure system (VSS) and Hinfin performance are proposed for a class of nonlinear time-delay systems with unknown dynamics nonlinearities and external disturbances. It is assumed that the unknown nonlinear function of state-delays is bounded by a high-order function with unknown gains. An adaptive fuzzy controller design...
The problem of the non-fragile dissipative control for the nonlinear discrete systems is dealt with. The T-S models is constructed for nonlinear systems, which makes the model approach to the original system more exact. The sufficient conditions for the existence of a dynamic output feedback fuzzy controller such that, for all admissible multiplicative controller gain variations, the closed-loop system...
Word sense disambiguation (WSD) has always being a key problem and one of difficult points in natural language processing. WSD is usually considered to be a pattern classification to be research. Feature selection is an important sector of WSD process. We review naive Bayes model (NBM) seriously, and the feature selection method adopted in this paper is directed at Bayesian Assumption to improve NBM...
The optimality of chaos control is investigated. In the drive-response regime, the response systems for a class of chaotic systems are designed as certain nonlinear observers that lead to scalar transmission signals and linear error systems. Based on the quadratic optimal control theory for continuous dynamical systems, an optimal synchronization control scheme is established to maintain the least...
Following up the task of design and implementation of intelligent control system for a robotic excavator in the project of Lancaster University computerised and intelligent excavator (LUCIE), this paper focuses on the joint arms control system design for low level control in automatic excavation. Based on the data based excavator dynamic models using simplified refined instrumental variable (SRIV)...
The stabilization problem for a class of continuous-time Takagi-Sugeno (T-S) fuzzy systems with time-varying delays is investigated. The time delays appear in both the state and the control input. A new descriptor model, which is equivalent to the resulting closed-loop system, is introduced. Based on this, some new delay-independent and delay-dependent conditions for the existence of state-feedback...
The purpose of this paper is to improve the quality of engineering project grading, the basic processes of data mining technique are introduced. Taking the engineering project grading as background, the implement cycles such as business understanding, data understanding, data preparation, modeling, evaluation and deployment are studied in detail. During modeling, the decision tree is adopted as analyzing...
An adaptive output-feedback control scheme is proposed for a class of nonlinear systems with unknown constant parameters, including the high-frequency gain, and unmodeled dynamics. With priori knowledge of the bounds of the parametric uncertainties, the smooth projection method and the discontinuous projection method are incorporated into the adaptive laws to prevent parameter drifts, respectively...
In recent years, networked control system has attracted increasing attention because of the Internet. The project aims to analyze the stability of decentralized networked control systems. The packet dropping of the network is assumed to be known. The necessary and sufficient conditions for stability are derived from 2 methods. One is derived from description of the control system, the other one is...
The Heating, Ventilating, and Air-Conditioning systems (HVAC systems) are typical nonlinear time-variable multivariate systems with disturbances and uncertainties. A new fuzzy control strategy based on the PID parameters tuning to control HVAC systems is proposed in this paper. It takes full advantage of mature technologies of PID controller to improve the design of fuzzy controller. The mathematical...
This paper investigates robust and non-fragile Hinfin controller design for the affine fuzzy large-scale systems, which are composed of a number of T-S affine fuzzy subsystems with interconnections. According to the Lyapunov direct method and the decentralized control theory of large-scale systems, a sufficient condition in the form of LMIs which guarantees the existence of state feedback Hinfin control...
A new stable sliding mode control method for a class of underactuated mechanical systems with saturation is proposed in this paper. Two state variables of the underactuated system are chosen to construct the first-layer sliding surface. Then, the first-layer sliding surface and one of the left state variables are used to construct the second-layer sliding surface. This process continues till the last...
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