Document Type: Article All Authors / Contributors: Maherani M.; Karimi B.; Farshad M. ISBN: 9781457708350 ISSN:1598-7833 Language Note: English Unique Identifier: 776657223 Awards:
| Title | : | Fuzzy control of nonlinear MIMO synchronous turbo generator |
| Author | : | Maherani M.; Karimi B.; Farshad M. |
| Language | : | en |
| Rating | : | 4.90 out of 5 stars |
| Type | : | PDF, ePub, Kindle |
| Uploaded | : | Apr 12, 2021 |
Full Download Fuzzy control of nonlinear MIMO synchronous turbo generator - Maherani M.; Karimi B.; Farshad M. file in ePub
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1944 1143 924 316 4602 4531 81 918 2828 1995
Jul 16, 2019 keywords: intelligent control (ic); fuzzy cognitive map (fcm); direct expansion air -conditioning.
Fuzzy has been implemented with fuzzy control for nonlinear systems with unknown dead zone [14, 15], for output feedback of nonlinear mimo systems [15, 16],.
Abstract: the contribution of this paper is to provide a nonlinear mimo keywords: drying control, fuzzy logic, relative humidity, temperature, air velocity.
Adaptive fuzzy output feedback control of mimo nonlinear systems with unknown dead-zone inputs abstract: this paper is concerned with the problem of adaptive fuzzy tracking control for a class of multi-input and multi-output (mimo) strict-feedback nonlinear systems with both unknown nonsymmetric dead-zone inputs and immeasurable states.
In this work the fuzzy adaptive control issue is investigated for multiple‐input multiple‐output (mimo) uncertain nonlinear systems in strict‐feedback form.
Fuzzy adaptive sliding-mode control for mimo nonlinear systems abstract: a stable adaptive fuzzy sliding-mode controller is developed for nonlinear multivariable systems with unavailable states. When the system states are not available, the estimated states from a semi-high gain observer are used to construct the output feedback fuzzy.
Vertical two tank systems, mimo fuzzy control, nonlinear system, experimental of a multi input multi output proportional integral fuzzy controller with.
A nonlinear mimo fuzzy speed tracking controller based on a nonlinear model of sedcm has been developed for field weakening speed control. The study has been shown that the proposed control can be implemented with high performance, even in the unknown load disturbance.
Output tracking control of mimo fuzzy nonlinear systems using variable structure control approach.
These systems can be employed to control complex, nonlinear dynamic plants, for example, human body.
The considered mimo nonlinear systems contain unknown functions and without the requirement of their states being available for the controller design. With the help of fuzzy logic systems identifying the mimo unknown nonlinear systems, a fuzzy adaptive observer is established to estimate the unmeasured states.
Adaptive fuzzy gain scheduling pid controller (safgs-pidc) for a class of multiple-input multiple-output (mimo) nonlinear systems with uncertainties.
Dec 16, 2011 mimo, multi-input multi-output; ga, genetic algorithm; fl, fuzzy logic; anns successfully employed to control nonlinear mimo systems (toha.
This paper presents an indirect adaptive fuzzy control scheme for a class of unknown multi-input multi-output (mimo) nonlinear systems with external.
Kim, yt, bien, z (2000) robust self-learning fuzzy controller design for a class of nonlinear mimo systems.
A hybrid adaptive fuzzy control for a class of nonlinear mimo systems han-xiong li and shaocheng tong abstract— a hybrid indirect and direct adaptive fuzzy output tracking control schemes are developed for a class of nonlinear multiple-input–multiple-output (mimo) systems. This hybrid control system consists of observer and other different.
Oct 11, 2000 this paper addresses the identification and control of nonlinear systems by means of fuzzy hammerstein (fh) models, which consist of a static.
This paper addresses an adaptive fuzzy control for a class of multi-input and multi-output nonlinear nonstrict-feedback systems with fuzzy dead zones, time delays and immeasurable states. Combining backstepping technique with dynamic surface control, only one adaptive law is required for each subsystem, and the whole design procedure is simplified.
Chang, robust tracking control for nonlinear mimo systems via fuzzy approaches, automatica 36 (2000) 1535– 1545. Chang, adaptive fuzzy-based tracking control for nonlinear siso systems via vss and h ∞ approaches, ieee trans.
Adaptive fuzzy tracking control for a class of mimo nonlinear systems in nonstrict-feedback form. This paper focuses on the problem of fuzzy adaptive control for a class of multiinput and multioutput (mimo) nonlinear systems in nonstrict-feedback form, which contains the strict-feedback form as a special case.
Fuzzy logic, nonlinear control; mimo control; liquid level control. In this study we tested five different control systems on our three- tank system.
This paper presents a novel control method for accommodating actuator faults in a class of multiple-input multiple-output (mimo) nonlinear uncertain systems. The designed control scheme can tolerate both the time-varying lock-in-place and loss of effectiveness actuator faults.
Many uncertain nonlinear systems can be modeled by the linear-in-parameter model, and the parameters are uncertain in the sense of fuzzy numbers.
In this paper, an adaptive fuzzy neural network (fnn) control scheme is developed for a class of multiple-input and multiple-output (mimo) nonlinear systems subject to unknown dynamics and state.
Two typical examples for designing the control of nonlinear mimo systems using fuzzy approach are presented in this chapter: • the design of fuzzy pi torque.
Abstract:this paper studies the adaptive fuzzy fault tolerant control (ftc) problem for a class of uncertain multi-input multi-output (mimo) nonlinear systems with unknown control directions in the presence of time-varying asymmetric output constraints.
Abstract—an adaptive fuzzy control scheme is proposed for a class of unknown multi-input multi-output (mimo) nonlinear dynamic systems with bounded control inputs. A regularized inverse matrix was adopted to obtain a stable controller.
Apr 8, 2015 in this article, an adaptive fuzzy output tracking control approach is of mimo switched nonlinear systems with unknown control directions.
A fuzzy logic system is used to approximate the unknown nonlinear functions, and a takagi–sugeno (t–s) fuzzy observer is presented for state estimations.
Jul 12, 2018 6 robust mrac with ppf for nonlinear mimo systems.
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