In servo motor positioning control, when the load changes, readjustment of the control gain must be performed. In this paper, with stabilization of servo adjustment due to load fluctuation in mind as well as convenien...
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ISBN:
(纸本)9781538695821
In servo motor positioning control, when the load changes, readjustment of the control gain must be performed. In this paper, with stabilization of servo adjustment due to load fluctuation in mind as well as convenience, based on simple adaptive control which is relatively simple structure and easy to realize even in adaptive control, while saving the trouble of adaptive gain adjustment we study a control method. In this study, simulation analysis was performed using MATLAB / Simulink to controlthe position of the Servo Motor. First, using the integral adaptive adjustment rule which is the most basic adaptive adjustment rule among Simple Adaptive control, simulation was carried out next using integral + proportional type adaptive adjustment rule.
In this paper, we consider the control problem of multi-agent systems with additive noises in the uncertain situation, (which means we are not sure about a particular probability space.) With mild condition, both G-me...
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ISBN:
(纸本)9781538695821
In this paper, we consider the control problem of multi-agent systems with additive noises in the uncertain situation, (which means we are not sure about a particular probability space.) With mild condition, both G-mean square convergence and G-mean square steady-state error are analyzed by graph theory and G-martingale convergence. Different from classical probability, weak convergence in capacity and weak convergence in capacity 1 are considered.
Design of a frequency-shaped second-order sliding mode (FS2SM) controller is demonstrated by means of exploiting second-order low-pass filter (LPF) to model the dynamic sliding surface to shape the frequency character...
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ISBN:
(纸本)9781538695821
Design of a frequency-shaped second-order sliding mode (FS2SM) controller is demonstrated by means of exploiting second-order low-pass filter (LPF) to model the dynamic sliding surface to shape the frequency characteristics of the equivalent dynamics. the proposed technique is numerically verified in the simulation of a half-car model (HCM) with inbuilt active hydraulically interconnected suspension (HIS) system. the closed-loop performances confirm that inclusion of an appropriate filter in the control scheme allows not only to reduce the roll angle but also its spectrum can be shaped.
the data-driven control scheme has been proposed to control nonlinear systems by adaptively tuning controller parameters based on the database. In the data-driven control scheme, the fixed number of neighbors' dat...
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ISBN:
(纸本)9781538695821
the data-driven control scheme has been proposed to control nonlinear systems by adaptively tuning controller parameters based on the database. In the data-driven control scheme, the fixed number of neighbors' data are selected to calculate controller parameters. therefore, the control performance cannot be improved when the inappropriate neighbors' data are chosen. In other words, the inappropriate controller parameters are calculated when query data is not included in the database. In this study, the data-driven control scheme using the kernel density estimation is proposed. the kernel density estimation can calculate the similarity between query data and database. According to the proposed scheme, controller parameters are calculated based on the abnormality which is obtained by the similarity mentioned above. the effectiveness of the proposed scheme is evaluated by a numerical example.
Windup phenomenon often occur for the control systems with input constraint and it degrades the control performance significantly. In this paper, an adaptive anti-windup control strategy for compensate the PI control ...
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ISBN:
(纸本)9781538695821
Windup phenomenon often occur for the control systems with input constraint and it degrades the control performance significantly. In this paper, an adaptive anti-windup control strategy for compensate the PI control system with saturated input will be proposed. An almost strictly positive real (ASPR) based adaptive output feedback control is added on the PI control and adaptive anti-windup control design scheme will be proposed based on the model recovery anti-windup strategy. the stability of the obtained control system is analyzed and the effectiveness of the proposed method will be confirmed through numerical simulations.
In this paper, we investigate the output tracking control problem for a class of uncertain nonlinear systems in parametric strict feedback form with quantized input. A novel backstepping based adaptive quantized contr...
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ISBN:
(纸本)9781538695821
In this paper, we investigate the output tracking control problem for a class of uncertain nonlinear systems in parametric strict feedback form with quantized input. A novel backstepping based adaptive quantized control scheme is proposed. Different from the existing results, the true quantization parameters are allowed to be unknown in the design of adaptive controller. It is shown that withthe proposed control scheme, the system output can track the desired trajectory asymptotically and all the closed-loop signals are globally uniformly bounded.
this paper mainly investigates the output feedback tracking control and stabilization for network control systems with packet losses. Both finite-horizon and infinite-horizon cases are considered. We introduce an augm...
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ISBN:
(纸本)9781538695821
this paper mainly investigates the output feedback tracking control and stabilization for network control systems with packet losses. Both finite-horizon and infinite-horizon cases are considered. We introduce an augmented state consisting of the system state and the reference trajectory to address the problem in finite-horizon. And then the optimal closed-loop control, the minimum cost function and the optimal estimator are offered by solving a set of difference Riccati equations. In infinite-horizon, we provide a necessary and sufficient condition for the stabilization of the system, the optimal control and the optimal cost function are establishing based on a set of algebraic Riccati equations.
In this paper, we apply the method of controltheory to machine learning, proposing a new multiplication update algorithm combined with adaptive controltheory, we name it MRAC-MU algorithm. A new parameter updating l...
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ISBN:
(纸本)9781538695821
In this paper, we apply the method of controltheory to machine learning, proposing a new multiplication update algorithm combined with adaptive controltheory, we name it MRAC-MU algorithm. A new parameter updating law is obtained according to Lyapunov stability theorem. Using the same object function as the exponential gradient (EG) algorithm, which is the key online learning method to multiplicative updates algorithm, Experiments are used to validate the proposed algorithm has a better result than EG algorithm in prediction accuracy.
A method of improving the performance of discrete fuzzy logic control (FLC) when applied to different systems will be proposed in this paper. Improvements to the controller performance have been made in terms of stead...
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ISBN:
(纸本)9781538695821
A method of improving the performance of discrete fuzzy logic control (FLC) when applied to different systems will be proposed in this paper. Improvements to the controller performance have been made in terms of steady state error, lowered ripple heights, and decreased settling time, particularly with respect to a multi-machine power system. Regarding our methodology, a truth-table was first pre-calculated, allowing direct mapping of given inputs to a suitable output following basic fuzzy logic operations. Next, a novel method of increasing the resolution of the FLC when the output nears the reference signal was implemented. Finally, simulations were run to prove the effectiveness of the proposed method compared to conventional control schemes in both linear and non-linear systems.
Magnetic levitation system is an interesting equipment to demonstrate an intricate control design problem. Because of its non-linearity and exhibit uncertain open-loop properties together critically unstable in nature...
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ISBN:
(纸本)9781538695821
Magnetic levitation system is an interesting equipment to demonstrate an intricate control design problem. Because of its non-linearity and exhibit uncertain open-loop properties together critically unstable in nature, identifying such system and then designing an effective controller is very demanding. this paper proposes identification and control strategy for real-time magnetic levitation system based on fractional theory and an orthogonal series. Without removing the controller from the loop, the unknown system is identified in form of low-order fractional model accurately. then, a new fractional controller namely FOPID (fractional-order-proportional-integral-derivative) is tuned to improve the system performance. Real-time experiment study clearly illustrates the effectiveness of the presented tuning method.
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