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This paper studies the generalized synchronization between two completely different complex dynamical networks. We present two complex dynamical networks, in which the nodes of the network are different and each node has the different dimensional dynamical system. Then we give a nonlinear control scheme based on Lyapunov stability theory, and derive a sufficient criterion for this generalized synchronization...
Non linear control of the squirrel induction motor propelling an Electric Vehicle (EV) is designed using sliding mode theory. The proposed scheme uses an adaptive flux and speed observer that is based on a full order model of the induction motor in the indirect vector-controlled drive. The sliding mode tools allow us to separate the control from these two outputs torque and flux. To take account of...
In this paper, a chemical reaction which was first proposed by Willamowski and Rössler is introduced. In order to improve the effect of chemical reactions, a parameter adaptive method is designed to make the chemical reaction chaotic. This adaptive control method can make the parameters converges to the expected target value and assurance the system convergent under the parameter initial values with...
In this paper we present analytical and numerical results concerning the inhibition of chaos in DufŒng-van der Pol system with Œth nonlinear-restoring force and two external forcing terms. We theoretically give parameter-space regions interval of initial phase difference on the basis of Melnikov methods proposed in, where homoclinic chaos can be suppressed. Numerical simulation results show the consistence...
In this paper a study of the fuzzy logic controller for ZCS Boost converter is presented. The fuzzy logic controller provides an adaptive control for better system performance and it is used for controlling the non-linear processes. FLC is designed to regulate the output voltage of the converter. The converter is modeled and analyzed using Matlab/Simulink software and it was designed in an closed-loop...
In this paper, we presents a new nonlinear iterative learning control law for a class of nonlinear systems, denoted NP-D-INP-D, which is composed by limiting the action of error in PID learning law, that is, use a bounded nonlinear function of error instead of error, and adding a differential feedback in the integrator of PID learning law to inject the suited damping. By using Bellman-Gronwall lemma,...
In this paper, the fault tolerant control of networked control systems with nonlinear perturbations is discussed. Based on Lyapunov stability theory and using LMI approach, the sufficient condition for closed-loop networked control systems possessing robust integrity against actuator failures was given by adopting state feedback control law. The proposed new criteria are irrelevant to the bound of...
The gyro stabilized platform control is required to isolate the line of sight (LOS) from the disturbance and vibration of carrier and ensure pointing and tracking for target in electro-optical tracking system. A compound adaptive fuzzy PID control with hysteresis-band switching is developed for this servo system with nonlinear property and some uncertainties. Here, in the adaptive fuzzy controller,...
A RBF neural network control system optimized by Particle Swarm Optimization is proposed. The control system was constructed by two RBF neural network, one was used as identifier and the other was used as controller. The system parameters were optimized by PSO, RBF neural network identified the nonlinear controlled object, the obtained Jacobian information used into RBF controller. Simulation results...
As various parameters of cement rotary kiln temperature control system means the relationships of strong coupling, nonlinearity and fast time-variety, there are many factors impact the temperature of combustion. Aiming at the constant control, an improved PID control method based on RBF neural network is proposed, and a new model of temperature intelligent controller to control nonlinear systems for...
This paper presents a speed controller for an interior permanent magnet synchronous motor (IPMSM) based on adaptive backstepping method. IPMSM speed is acquired through extended-EMF method, which is simple to achieve and has a good dynamic performance. A novel nonlinear control strategy, backstepping, is used to design speed tracking and current controllers. The system can achieve fast speed tracking...
This paper deals with the tracking control of robot manipulators. Proposed is a class of new SM-NPID-like tracking controllers consisting of a linear combination of the linear sliding mode control, proportional control, derivative control, nonlinear control shaped by a nonlinear function of position errors, linear integral control driven by differential feedback, and nonlinear integral control driven...
This paper deals with the control of an axisymmetric moving mass actuated reentry vehicle. Three channel stable dynamic equations of the reentry vehicle are obtained derived from Newtonian theory. Since the maneuvering flighting in the reentry stage is mainly in the longitudinal plane, linear equations of the vehicle in the longitudinal plane based on linear perturbation theory are available. In addition,...
Using phase plane to analyze second-order no-linear control system has very intuitive effect to ensure the stability, stable region and other essential attributes of no-linear system, but it's complex to draw phase locus curve. In the paper, LabVIEW was used to design graphical interface, input relevant parameters and draw the curve. The system plays an important role in using phase plane to analyze...
For the case of intercepting maneuvering target, A new continuous nonlinear guidance law with robustness is proposed by adopting L2 gian method. The mathematic model was built according to nonlinear kinematics relationship between missile and target whose acceleration as disturbance was introduced. Based on the method of zeroing the rate of line-of-sight angle and zeroing the relative distance, a...
Magnetic bearings can not only solve the bearing wear and life problems but also reduce the loss and noise of bearings. However, the strong non-linear and uncertainty of parameter of the magnetic bearings make the traditional PID controller difficult to ensure its long-term and stable operation. Based on the T-S fuzzy model, this paper presents a design method of magnetic bearing parallel-distributed...
In this paper, we study the existence of positive solutions for a class nonlinear singular boundary value systems { (φp1(u'))'+a1(t)f(u, v)=0, 0<;t<;1, (φp2(v'))'+a2(t)g(u, v)=0, 0<;t<;1, u(0)=u'(|1)=0, u(0)=u'(1)=0, φpi(s) = |s|pi-2s, pi>1(i=1,2). We obtain the existence of infinitely many positive solutions by using fixed-point index theory. Especially, the nonlinear terms f; g are...
This paper studied the Fuzzy-PID control strategy for AC arc furnace electrode regulator system. Based on the classical PID control, this paper used the basic theories and methods of Fuzzy Mathematics to adjust the PID parameters, realized the Fuzzy-PID control strategy, applied it in electrode regulator system and then made the simulation. The simulation results showed that the control strategy of...
This paper presents Particle Swarm Optimization method based on uniform design for the parameter identification of hydraulic turbine regulating system. We selected the number of the particle swarm, inertia weight, acceleration factors as the factors and nine level for every factor. We made the Uniform Design of four factors and nine level. And then we made nine experimental plans according to the...
It is significant to control pH value rapidly and accurately for neutralization reaction process, which is characterized by critical nonlinearity and strong disturbance. In this paper, a nonlinear model is built taking the case of overflow neutralization reaction pool. And a linearization method based on inverse model is proposed. On the base of nonlinear compensator, a single closed-loop PI control...
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