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The article addresses the problem of identifying subtle causal relations between sets of data defining a control system. The key pros and cons of using a fuzzy method are later examined. It explains the primary aspects of the fuzzy model for revealing implicit causality within a control system based on a combination of a fuzzy set approach and data mining techniques. The tool for carrying out evaluation...
This paper discusses three practical strategies introduced from the basic concept of boundary observers. Firstly, we present a particular case of a shaping conservation law. The shaping is basically achieved by a distributed control input. However, we can realize a boundary control shaping if an input satisfies a matching condition. Secondly, we show the boundary observer is not influenced by the...
This paper consider the design problem of MFCS (model following control system) for a descriptor of linear time-delay system. The bounded property of internal states for control system is given and utility of this control design is guaranteed. Numerical results are given to illustrate the effectiveness of the proposed method.
A robust and high precision control system has been designed in MATLAB for a prototype DC motor system running at high rpm with uncertainty in plant parameters and in the presence of plant disturbances and measurement errors. The controllers have been designed using variety of approaches PID, LQG, and LSDP. Each of these design in MATLAB meet rise time, settling time and peak percent overshoot as...
The underwater vehicle is six degrees of freedom model. The execution of spatial maneuvers are determined mainly by the dynamic properties of underwater vehicle particularly controllability and stability. The control surfaces are situated at the rear end of the underwater vehicle which moves either vertically or horizontally (Pitch, Yaw, Roll, Pitch-rate,Yaw-rate etc.) used to steer the vehicle to...
This paper is devoted to path following control for port-Hamiltonian systems whose desired path is time-varying. Most of the existing results on path following can only take care of time invariant paths, hence they cannot be applied to control systems whose environments change, e.g., path following control with moving obstacle avoidance or with a path crossing itself. The proposed method solves this...
This paper presents the design of fuzzy PI+D controller and fuzzy PID controller for nonlinear systems using 'Gaussian' membership functions. The fuzzy controllers are derived from their conventional continuous time domain controllers. The controllers are developed by first discretizing the controllers' laws and then progressively deriving the steps necessary to incorporate a fuzzy logic control mechanism...
Motivated by the goal of obtaining more-anthropomorphic walking in bipedal robots, this paper considers a hybrid model of a 3D hipped biped with feet and locking knees. The main observation of this paper is that functional Routhian Reduction can be used to extend two-dimensional walking to three dimensions-even in the presence of periods of underactuation-by decoupling the sagittal and coronal dynamics...
In order to reduce the computational load of the recursive least squares (RLS) algorithm, a decomposition based least squares algorithm is developed for non-uniformly sampled multirate systems. The main ideal is to decompose the identification model of the non-uniformly sampled systems into several submodels with smaller dimensions and fewer parameters based on the hierarchical identification principle...
Two-level quantum systems are important quantum models that are useful for the conceptual development and construction of quantum technologies. In this paper we provide measurement feedback controllers for the regulation of two-level systems to pure states in the xz qubit plane, and the tracking control with respect to a class of reference signals.
The paper studies how nonlinear PCH Hamiltonian systems are transformed under sampling. We show that Hamiltonian conservation can be preserved under sampling with respect to a modified output mapping. The impact of this result for computing sampled-data stabilizing controllers is illustrated on the basis of an example.
This paper describes a two-sweep control design method to stabilize the acrobot, an input-affine under-actuated system, at the upper equilibrium point. In the forward sweep, the system is successively reduced, one dimension at a time, until a two-dimensional system is obtained. At each step of the reduction process, a quotient is taken along one-dimensional integral manifolds of the input vector field...
Based on self-adaptive fuzzy PID control, the autopilot for the longitudinal channel of UAV (unmanned aerial vehicle) is designed, which uses the theory of self-adaptive control and combines the traditional PID control method with fuzzy control method. Simulation results show that the algorithm of the self-adaptive fuzzy PID controller is easy. And the self-adaptive capacity of the system has been...
Recently, interior permanent magnet synchronous motor (IPMSM) is widely used in various applications, such as electric vehicles and compressors. It has a high requirement in wide load variations, high speed condition, stability, providing a fast response and most important thing is that it can be applied easily and efficiently. However, the control of IPMSM is more difficult than surface permanent...
This paper is concerned with the stabilization problem of networked control systems where the main focus are the packet-loss, time delays and unmeasured system states. Here a state observer is designed for estimating the states and compensating for time delay and data dropout, then the whole closed system is modeled as asynchronous dynamical system constrained by configuration event rate. By using...
This paper describes an integrated controller for handling the problem on rudder roll stabilization (RRS) of ship model uncertainty and hard nonlinearities about input rate and magnitude saturations. According to the state space model of ship, a generalized predictive controller (GPC) is deduced. The controller is adjusted by fuzzy gain scheduler (FGS), which is optimized with genetic algorithms (GA)...
According to the tape tension requirements in the course of fruit-cultivating bag machine running, fuzzy self-adaptive PID controller is applied to tension control system and mathematics model is founded. The structure and controlling rules of PID controller has been analyzed. Process simulation is completed and proves that the method satisfied the request of moderate and constant tension, and the...
In order to solve the problems such as long time-delay, non-linear and the difficulty to establish an accurate mathematical model emerged in industrial field, we combine advanced intelligent control method with traditional automated devices, and put forward a Fuzzy Controller in accordance with the principle of fuzzy control and the characteristics of PLC. The Fuzzy Controller realized on the basis...
In this paper, PID parameters are first normalized on the basis of engineering adjustment, and then are adjusted by fuzzy control principle and fuzzy inference. A fuzzy self-adjustment PID control algorithm is proposed. The PID Controller has the ability of adapting to such complexity and hard control object as non-lined time-varient uncertainly and on. In the end, this algorithm is applied in simulation...
This paper introduces a fuzzy control design method for model following control system (MFCS) with descriptor systems. The Takagi and Sugeno (T-S) fuzzy model is employed to represent a nonlinear system. In this case, a new criterion is proposed to ensure the internal states be stable.
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