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The output-feedback control problem for nonlinear systems with state and input delays is addressed. Both state and input delays are allowed to be time-varying and uncertain. The class of systems considered consists of a nominal system of feedforward form as well as appended dynamics. A delay-independent robust adaptive feedback is designed based on our recent results on dual dynamic high-gain scaling...
This paper presents a novel, computationally feasible procedure for computing optimal switching surfaces, i.e. optimal feedback controllers for switched autonomous nonlinear systems. Such systems are regulated by appropriately scheduling their operation modes over time. Given a finite mode sequence, the control task is to determine switching surfaces, which implicitly encode locally optimal switching...
This paper presents a time-varying switching plane design method for the sliding mode control of the third order system subject to velocity, acceleration and input signal constraints. Initially, the switching plane passes through the system representative point in the error state space and then, it moves with a constant velocity to the origin of the space. Having reached the origin the plane stops...
A direct adaptive fuzzy control scheme is developed for a class of continuous-time nonlinear systems. In this scheme, using the fuzzy logic system online approximation capability, the fuzzy approximator is used to design a direct adaptive fuzzy controller, and the unknown parameters are adjusted by the time-varying dead-zone, which its size is adjusted adaptively. The proposed design scheme guarantees...
This paper concerns the study of an accumulator used in an industrial elastic web processing plant. Accumulators are used to allow unwind or rewind roll changes while the rest of the line remains at a constant web velocity. Linear and nonlinear models of an accumulator are first detailed. These models are derived from the physical relationships that describe web tension and velocity dynamics in each...
In this paper we give a new sufficient condition for master-slave synchronization of piecewise affine (PWA) systems. Using a Lyapunov approach and the so-called S-procedure, we show that the synchronization problem can be solved as an optimization problem subject to a set of linear matrix inequalities (LMIs) for which the slave state-feedback controller is designed efficiently. A mechanical system...
This paper presents a particle swarm optimization (PSO) based state feedback damping controller design for unified power flow controller (UPFC). The selection of the state feedback gains for the UPFC controllers is converted to an optimization problem with the eigenvalue-based objective function which is solved by a PSO that has a strong ability to find the most optimistic results. The effectiveness...
In this paper, the design of adaptive controllers is presented for a class of periodically time-varying nonlinear systems. Saturated adaptation mechanisms are suggested for providing bounded estimation, by which the designed controllers can drive the state error to zero, while all the signals in the closed-loop are ensured to be bounded. The flexibility in choice of adaptation laws is illustrated...
For many airborne platforms with antenna, it's an important task to research on the control of antenna pointing, and it is essential to solve the problem of the robustness, stability, and high accuracy tracking control in the time-varying, uncertain parameters system. This paper mainly designs the scheme of the antenna tracking-pointing control system based on an assistant beaconing, which is composed...
Recent advancement in size and technology of wind energy conversion systems (WECSs) require sophisticated control systems to effectively optimize energy conversion and enhance grid integration. Doubly-fed induction generators (DFIG)-based WECS are the most promising and widely utilized technology. This study focuses on advanced controls development to identify and assess the critical loads and instabilities,...
The temperature control system has the characteristic of non-linearity, large inertia and time variability. It is difficulty to overcome the effects of these factors and get the satisfactory results with using the normal PID controller. Therefore, a self-adaptive PID controller based on fuzzy is adopted in this paper. By the means of adjusting the adjustable factors on line, it can optimize the control...
Artificial Neural Networks (ANNs) are widely applied nowadays for classification, identification, control, diagnostics, recognition, etc. They can be implemented for identification of dynamic systems. The concept of ANN is highly used in design and simulation of control system of Unmanned Aerial Vehicles (UAVs). Controller design for UAV is subject to time varying and non-linear model parameters....
In this paper, because the induction machines are described as the plants of highly nonlinear and parameters time-varying, in order to obtain a very well control performances that a conventional model reference adaptive inverse control (MRAIC) can not be gotten, a fuzzy neural network-based model reference adaptive inverse control strategy for induction motors is presented based on the rotor field...
A gain-scheduling control scheme produces a nonlinear global controller from a series of local controllers tuned at specific operation points. A major problem on the design of gain scheduling controllers is the design and implementation of the switching logic to have a smooth plant response all over the operation range. This point is solved with the application of fuzzy logic, which maintains advantages...
This paper presents switching fuzzy model construction based on optimal dividing planes. In our previous papers, we proposed the switching fuzzy model with arbitrary dividing planes. However, dividing planes have been selected by controller designers before constructing the switching fuzzy model. Unfortunately, it is difficult to find suitable dividing planes for complicated nonlinear systems. Moreover,...
A switching fuzzy control system is proposed for dealing with the non-linear dynamics of electromagnetic suspension system. With two fuzzy sub-controllers and a switch engine, the switching fuzzy control system is flexible to cover changeable initial conditions with less computational cost. For satisfying the coupling constraint on positions of four floaters, a global self-supervisor with feedback...
In order to control systems that contain nonlinearities or uncertainties, control strategies must deal with the effects of these. Since most control methods based on mathematical models have been mainly focused on stability robustness against nonlinearities or uncertainties, they are limited in their ability to improve the transient responses. In this paper, a nonlinear fuzzy auto-tuning PID control...
According to seriously nonlinear, time - varying and strong coupling of the temperature and humidity of drying process, the immune feedback mechanism and fuzzy control theory were applied to designing a fuzzy immune PID controller, and the parameters of PID controller was optimized with hybrid algorithm. First, least square algorithm was used for off-line optimization to form immune feedback control...
In this parer, a sliding mode control algorithm based on Takagi-Sugeno (T-S) fuzzy model for a class of nonlinear systems is proposed. The nonlinear system is approximately represent by a T-S fuzzy model with mismatched parameter uncertainties and time-varying delay. An asymptotically stable sliding surface is designed by means of linear matrix inequality (LMI). The sliding surface can compensate...
The paper focuses on the robust H∞ controller design based on observer for a class of uncertain time-delay systems with non-linear perturbation in the state and control input. Under the assumption that the uncertainties are timevarying and norm-bounded, based on linear matrix inequality, by constructing Lyapunov function and choosing proper observer, we bring forward an approach for robust H∞ controller...
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