Adaptive Output Feedback based Output Tracking Control with Adaptive Parallel Feedforward Compensator

Mizumoto, Ikuro; Nobuyuki, Kawabe

doi:10.1016/j.ifacol.2017.08.987

Cited by 13 publications

(7 citation statements)

References 16 publications

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“…We first recall the basic design idea of the adaptive output feedback control for linear systems provided by Ref. [16] as a preliminary.…”

Section: Design For Linear Systemsmentioning

confidence: 99%

“…Concerning the stability of the resulting adaptive control system, we have the following theorem [16]:…”

Section: Design For Linear Systemsmentioning

confidence: 99%

“…As the feedforward control input v (t), we can design the RBF NN based adaptive feedforward as in Ref. [16] or the CGT based adaptive feedforward as in Ref. [3].…”

Section: Remarkmentioning

confidence: 99%

“…[14], a robust and model-based design scheme of PFC for systems with unmodeled dynamics including a time-delay system has been provided. Recently, adaptive and/or data driven PFC design schemes have been proposed, and thus automatic design strategies of PFC have been developed [15,16]. However, most of them were just for linear systems.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Output Feedback Control Design with Adaptive Parallel Feedforward Compensator and Feedforward Input via Kernel Method for Nonlinear System

Akaike

Mizumoto

2021

IEEJ Transactions Elec Engng

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It is well recognized that an adaptive output feedback control based on almost strictly positive real-ness (ASPR) or output feedback strictly passivity (OFSP) property of the system has strong robustness with respect to disturbances and uncertainty. However, most practical systems do not have such properties. In order to realize an augmented ASPR system for designing adaptive output feedback controller, a kind of adaptive parallel feedforward compensator (PFC) design schemes have been proposed for linear systems. In this paper, we propose an adaptive PFC design scheme by Kernel method for nonlinear systems and provide output feedback passivity based adaptive output feedback control for nonlinear systems. The effectiveness of the proposed method will be confirmed through numerical simulations.

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“…We first recall the basic design idea of the adaptive output feedback control for linear systems provided by Ref. [16] as a preliminary.…”

Section: Design For Linear Systemsmentioning

confidence: 99%

“…Concerning the stability of the resulting adaptive control system, we have the following theorem [16]:…”

Section: Design For Linear Systemsmentioning

confidence: 99%

“…As the feedforward control input v (t), we can design the RBF NN based adaptive feedforward as in Ref. [16] or the CGT based adaptive feedforward as in Ref. [3].…”

Section: Remarkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive Output Feedback Control Design with Adaptive Parallel Feedforward Compensator and Feedforward Input via Kernel Method for Nonlinear System

Akaike

Mizumoto

2021

IEEJ Transactions Elec Engng

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“…Same as dealing with non-ASPR linear systems, a parallel feedforward compensator (PFC) was introduced to solve this problem. 3,4 By adding an appropriate PFC in parallel to a non-OFEP controlled plant, an augmented system with OFEP properties is configured. When adaptive output feedback control is applied to such augmented systems, stable control can be designed even for uncertain systems (see Figure 1).…”

Section: Introductionmentioning

confidence: 99%

Adaptive output feedback control system design for nonlinear systems via neural networks

Li,

Otakara,

Kato

et al. 2024

Elect Comm in Japan

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Adaptive output feedback control based on output feedback exponential passivity (OFEP) has a simple structure and strong robustness in regard to disturbances and system uncertainties. However, it is difficult for most nonlinear systems to satisfy the conditions of OFEP. Thus, the introduction of a suitable parallel feedforward compensator (PFC) to construct an OFEP‐augmented system with the controlled system has been used, but the control output cannot achieve perfect tracking because of the output of the introduced PFC. As a solution, introducing a feedforward (FF) input to build a 2 degree of freedom (2‐DOF) is a simple and effective way to solve this problem. In this paper, we propose the design schemes for suitable PFC and FF input of nonlinear systems via the use of neural networks (NN), respectively. Besides, to cope with possibly present input disturbances, we also provide a method to achieve disturbance compensation based on NN to reduce their interference. Finally, the effectiveness of all proposed design schemes is confirmed through numerical simulations.

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Adaptive anti‐windup output feedback control for nonlinear systems and its stability analysis

Yu,

Akaike,

Kunimatsu

et al. 2024

Asian Journal of Control

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SummaryIn the practical application of adaptive control methods, a windup phenomenon for the systems with input saturation may occur because there exists an input restriction such as saturation of actuator in most actual systems due to physical reasons. In this paper, to alleviate the influence of the windup phenomenon by input saturation, we propose an output feedback exponentially passive (OFEP)‐based adaptive model recovery anti‐windup (AMRAW) control strategy for the stable nonlinear systems with input saturation. Moreover, in order to realize an augmented OFEP system for non‐OFEP nonlinear systems that do not satisfy the OFEP properties, a parallel feedforward compensator (PFC) is introduced, and a radial basis function (RBF) neural network (NN)‐based adaptive feedforward input is designed to attain accurate tracking performance for systems with the PFC. Furthermore, the detailed stability analysis of the proposed AMRAW control system is provided, and the performance of the proposed method is validated through appropriate numerical simulations.

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Adaptive Output Feedback based Output Tracking Control with Adaptive Parallel Feedforward Compensator

Cited by 13 publications

References 16 publications

Adaptive Output Feedback Control Design with Adaptive Parallel Feedforward Compensator and Feedforward Input via Kernel Method for Nonlinear System

Adaptive Output Feedback Control Design with Adaptive Parallel Feedforward Compensator and Feedforward Input via Kernel Method for Nonlinear System

Adaptive output feedback control system design for nonlinear systems via neural networks

Adaptive anti‐windup output feedback control for nonlinear systems and its stability analysis

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