A modified Elman neural network (MENN) based neural adaptive inverse control scheme is proposed for trajectory tracking of rate-dependent hysteresis. To attenuate the influence of the rate-dependent hysteresis, a modi...
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ISBN:
(纸本)9781509006212
A modified Elman neural network (MENN) based neural adaptive inverse control scheme is proposed for trajectory tracking of rate-dependent hysteresis. To attenuate the influence of the rate-dependent hysteresis, a modified inverse backlash operator (MIBO) is developed to act as the hidden layer neuron of the MENN to describe the dynamic behavior of the inverse rate-dependent hysteresis. The diagonal recurrent weights of context layer and the recurrent weights from hidden layer to context layer are designed to enhance the dynamic learning capability of the MENN. To determine an appropriate structure and the parameters of the MENN for adaptive inverse control, a MENN is trained first based on the data of inverse rate-dependent hysteresis. In view of the nonsmooth characteristics of the MIBOs, a restricted step proximal bundle (RSPB) method is employed to search the appropriate subgradients at the nonsmooth vertexes of the MIBOs. The relevant Levenberg-Marquardt (L-M) algorithm is developed to acquire an appropriate MENN that is used as the initial controller to implement adaptive inverse control for rate-dependent hysteresis via gradient descent learning algorithm. Numerical control results on a Duhem model of piezoelectric actuators have validated the effectiveness of the proposed method.
A first-principles distributed-parameter model of the temperature in an experimental annealing device is developed. In particular, the one-dimensional spatial-temporal temperature evolution of a thin steel strip along...
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A first-principles distributed-parameter model of the temperature in an experimental annealing device is developed. In particular, the one-dimensional spatial-temporal temperature evolution of a thin steel strip along its length is modeled during the heating-up process assuming temperature uniformity along the width and the thickness. The model captures heat flows caused by thermal radiation in the considered partially specular enclosure, free convection, and in-domain convection. Parameter identification is carried out based on the step response of the system measured by thermocouples and an infrared camera. For model verification, both time and spatial evolutions of the simulated specimen temperature are compared with measurements.
Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of th...
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The influence of air cooling jets on the steady-state shape of the strip in hot dip galvanizing lines is investigated. For this purpose, the force characteristic of a single nozzle is measured by a laboratory flow sim...
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The influence of air cooling jets on the steady-state shape of the strip in hot dip galvanizing lines is investigated. For this purpose, the force characteristic of a single nozzle is measured by a laboratory flow simulator. This approach differs from conventional methods, where typically, CFD simulations are used. Based on the air cooler force characteristic the stability of the equilibrium points is investigated and the influence of different types of boundary conditions, tensile loads, strip thicknesses, and cooler fan speeds is examined.
Using translated X-factorable phase space transformations and nonlinear variable transformations a dynamically similar linear ODE model is associated to the Lotka-Volterra system models with a positive equilibrium poi...
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Vortex beam carrying multiple orbital angular momentum provides a new degree of freedom to manipulate light leading to the various exciting applications as trapping, quantum optics, information multiplexing, etc. Heli...
Vortex beam carrying multiple orbital angular momentum provides a new degree of freedom to manipulate light leading to the various exciting applications as trapping, quantum optics, information multiplexing, etc. Helical wavefront can be generated either via the geometric or the dynamic phase arising from a space-variant birefringence (q-plate) or from phase accumulation through propagation (spiral-phase-plate), respectively. Using fast direct laser writing technique we fabricate and characterize novel hybrid q-plate generating vortex beam simultaneously carrying two different high-order topological charges, which arise from the spin-orbital conversion and the azimuthal height variation of the recorded structures. We approve the versatile concept to generate multiple-OAM vortex beams combining the spin-orbital interaction and the phase accumulation in a single micro-scale device, a hybrid dielectric phase plate.
Synchronization problem is investigated for multiple harmonic oscillators with identical communication delay, and two predictor-based distributed algorithms, which include asynchronously-compensated form and synchrono...
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ISBN:
(纸本)9781467391054
Synchronization problem is investigated for multiple harmonic oscillators with identical communication delay, and two predictor-based distributed algorithms, which include asynchronously-compensated form and synchronously-compensated form, are proposed. To analyze the delay robust-ness intuitively, two predictor-based algorithms accompanied with the normal asynchronously-matched and synchronously-matched distributed algorithms are studied for a simplest interconnection topology that a oscillator follows a leader. Under general directed topology, delay-dependent sufficient conditions are obtained respectively for the synchronization algorithm in asynchronously-compensated and synchronously-compensated algorithms by using frequency-domain analysis. Numerical simulations illustrate the correctness of the theoretical analysis.
This paper studies the problem of disturbance rejection controller design for a class of nonhomogeneous Markov jump systems,in which the nonhomogeneous Markov jump process is described as a polytope *** compensate the...
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ISBN:
(纸本)9781479970186
This paper studies the problem of disturbance rejection controller design for a class of nonhomogeneous Markov jump systems,in which the nonhomogeneous Markov jump process is described as a polytope *** compensate the disturbance,a disturbance observer is considered,and based on which the state-feedback control law is *** the designed controller,a sufficient condition is presented to ensure that the resulting closed-loop system is stochastically stable and a prescribed H performance index is ***,a simulation example is given to illustrate the effectiveness of the developed techniques proposed.
Based on the direct synthesis approach, a simple and effective design method of centralized proportional integral (PI) controller for non-square processes is investigated in this paper. With the help of desired closed...
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Based on the direct synthesis approach, a simple and effective design method of centralized proportional integral (PI) controller for non-square processes is investigated in this paper. With the help of desired closed-loop diagonal transfer function to reduce interaction between individual loops, analytical expressions for PI controller, through the steady and dynamic information of the open-loop transfer function, are derived for the first order plus time delays model which often arises in the chemical production process. Compared with the existing direct synthesis approaches, the proposed controller design method requires no approximation of the pseudo-inverses of process. Example is introduced to show the effectiveness and simplicity of the proposed technique.
Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of th...
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Nonlinear Model Predictive control (NMPC) employs a plant model to compute a sequence of optimal control inputs for a finite horizon. As, in reality, there always exists a plant-model mismatch and not all states of the plant can be measured, the NMPC scheme must be robust to plant uncertainties and to estimation errors. Different robust NMPC strategies have been proposed to deal with these uncertainties. Among them, a multi-stage NMPC, which is based upon a scenario tree of future plant evolutions, is less conservative compared to worst-case open-loop approaches because the presence of feedback at future sampling instants is explicitly considered. In multi-stage output feedback NMPC, additional scenarios are created by sampling the innovations that are used to estimate the future states of the plant along the scenario tree. In this paper, we refine our previously published approach to include state estimation errors. Moreover we extend the scheme to guarantee robust constraint satisfaction by calculating reachable sets using Taylor models. The method is demonstrated for a nonlinear chemical process example.
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