Fuzzy Backstepping
퍼지 백스테핑

Fuzzy Backstepping(퍼지 백스테핑)란 무엇입니까?

Fuzzy Backstepping 퍼지 백스테핑 - In this paper, the adaptive fuzzy backstepping control problem is considered for a class of single-input single-output (SISO) unknown uncertain nonaffine nonlinear systems in strict-feedback form. ^[1] Subsequently, considering physical limitations and performance requirements, a novel time-varying BLF-based adaptive fuzzy backstepping control scheme is designed for the uncertain nonstrict-feedback nonlinear systems to realize superior tracking performances and keep the states staying in predefined time-varying compact regions during operations. ^[2] An adaptive fuzzy backstepping control strategy combining with nonlinear disturbance observer is studied to synthetically control the posture for the underactuated MCPSS with tension constraint in this article. ^[3] In order to deal with the tracking error constraint, a stochastic Barrier Lyapunov function (BLF) is utilized to the adaptive fuzzy backstepping control design. ^[4] Based on Barrier Lyapunov Function(BLF), an adaptive fuzzy backstepping control is proposed for a continuous reaction stirred reactor(CSTR) with input saturation and output constraint. ^[5] To achieve these goals, this paper proposes two novel adaptive fuzzy backstepping control methods for two sets of paralleled DC–DC converters. ^[6] In this paper, an optimal robust adaptive fuzzy backstepping control is presented to the position control of the electro-hydraulic servo (EHS) system in the presence of structured and unstructured uncertainties. ^[7] This paper investigates the issue of tracking control of nonlinear system with external disturbance , an event-triggered fuzzy backstepping sliding-mode control strategy is proposed. ^[8] A novel fixed-time adaptive fuzzy backstepping control (BC) scheme is proposed by integrating the fuzzy logic systems and fixed-time control technique into each step of the BC design. ^[9] This paper proposes an adaptive fuzzy backstepping control (AFBSC) for a Segway ball system. ^[10] Further, an adaptive fuzzy backstepping control strategy has been developed for the considered attitude stabilization issue, where the adaptive fuzzy logic method is used to approximate the rigid-flexible coupled nonlinearity of the spacecraft. ^[11] In this paper, the design of a fractional-order hyperbolic adaptive neuro-fuzzy backstepping sliding mode controller (HANFBSMC) has been addressed for a class of fractional-order chaotic systems with time-varying delays in their states, control inputs, disturbances and uncertainties. ^[12] The proposed techniques were applied to the TRMS, where the real time implementation of type-2 fuzzy backstepping sliding mode controller (T2FBSMC) were proposed for control system in the presence of external distrubances. ^[13] In this paper, a singularity-free adaptive fuzzy backstepping control (AFBC) scheme is presented for uncertain nonlinear SISO systems with triangular structure by using dynamic surface control (DSC) design technique. ^[14] A new problem of observer-based fractional adaptive type-2 fuzzy backstepping control for a class of fractional-order MIMO nonlinear dynamic systems with dead-zone input nonlinearity is considered in the presence of model uncertainties and external disturbances where the control scheme is constructed by combining the backstepping dynamic surface control (DSC) and fractional adaptive type-2 fuzzy technique. ^[15] In this paper, the design of robust finite-time adaptive fuzzy backstepping control for multi-input multi-output (MIMO) cancer immunotherapy system with fully unknown parameters is addressed. ^[16] Due to frictions and model uncertainties of the anthropomorphic arm system, an adaptive fuzzy backstepping control is proposed to ensure the stability and the adaptivity during the motion. ^[17] The nonlinear uncertainties are approximated by using the fuzzy logic systems at the first stage, secondly the adaptive fuzzy dynamic surface control is introduced to remove the problem of the explosion of complexity for the derivation of the adaptive fuzzy backstepping control, thirdly a new saturation function for state constraints is proposed to design the controllers based on the Lyapunov function, fourthly the number of the adjustable parameters is reduced by using the simplified extended single input rule modules, and finally the weighted least squares estimator to take the estimates for the un-measurable states and the adjustable parameters is in a simplified structure designed. ^[18] This paper proposes an adaptive fuzzy backstepping synchronization control method for a class of factional-order chaotic systems with input saturation and unknown external disturbance, where the fractional-order derivative of the virtual control function is treated as a part of an unknown function. ^[19] To solve the above problems, an adaptive fuzzy backstepping controller is designed in this paper. ^[20] This article deals with the design of adaptive fuzzy backstepping control for uncertain nonlinear systems in strict-feedback form with tracking error constraints. ^[21] We design the adaptive fuzzy-approximation control strategy and combining the synthesis of the robust design, backstepping control, and Lyapunov function method, the proposed adaptive fuzzy backstepping control does not need to know the humanoid robot’s arms model precisely. ^[22] Both the state feedback containment control and the observer-based output feedback containment control are constructed by combining distributed sliding-mode estimators with adaptive fuzzy backstepping control. ^[23] In this paper, a sensorless adaptive neuro-fuzzy backstepping control scheme is developed for induction machines with unknown model, uncertain load-torque and nonlinear friction where the speed is obtained using the model reference adaptive system (MRAS). ^[24] In this paper, the design of robust finite-time adaptive fuzzy backstepping control for multi-input multi-output (MIMO) cancer immunotherapy system with fully unknown parameters is addressed. ^[25] This paper develops a fractional-order adaptive fuzzy backstepping control scheme for incommensurate fractional-order nonlinear uncertain systems with external disturbances and input saturation. ^[26] This paper proposes an adaptive fuzzy backstepping dynamic surface control (DSC) method for a class of single-input-single-output (SISO) strict-feedback fractional-order nonlinear systems with uncertain nonlinearities. ^[27]
본 논문에서는 SISO(Single-Input Single-Output)의 알려지지 않은 불확실한 비친선형 비선형 시스템(Strict-feedback form)에 대한 적응형 퍼지 백스테핑 제어 문제를 고려한다. ^[1] 결과적으로 물리적 한계와 성능 요구 사항을 고려하여 불확실한 nonstrict-feedback 비선형 시스템에 대해 새로운 시변 BLF 기반 적응형 퍼지 백스테핑 제어 체계가 설계되어 우수한 추적 성능을 실현하고 사전 정의된 시변 컴팩트 영역에 상태를 유지합니다. 작업. ^[2] nan ^[3] nan ^[4] nan ^[5] nan ^[6] nan ^[7] 본 논문에서는 외부 외란이 있는 비선형 시스템의 추적 제어 문제를 조사하고 이벤트 트리거 퍼지 백스테핑 슬라이딩 모드 제어 전략을 제안합니다. ^[8] nan ^[9] nan ^[10] nan ^[11] 이 백서에서 분수 차수 쌍곡선 적응형 신경 퍼지 백스테핑 슬라이딩 모드 컨트롤러(HANFBSMC)의 설계는 상태, 제어 입력, 교란 및 불확실성에서 시간에 따라 지연되는 지연이 있는 분수 차수 혼돈 시스템 클래스에 대해 해결되었습니다. . ^[12] 제안된 기술은 TRMS에 적용되었으며, 외부 장애가 있는 경우 제어 시스템에 유형 2 퍼지 백스테핑 슬라이딩 모드 컨트롤러(T2FBSMC)의 실시간 구현이 제안되었습니다. ^[13] 이 논문에서는 DSC(Dynamic Surface Control) 설계 기법을 사용하여 삼각형 구조의 불확실한 비선형 SISO 시스템에 대해 특이점이 없는 AFBC(Adaptive Fuzzy Backstepping Control) 방식을 제시합니다. ^[14] 데드존 입력 비선형성이 있는 분수 차수 MIMO 비선형 동적 시스템 클래스에 대한 관찰자 기반 분수 적응 유형 2 퍼지 백스테핑 제어의 새로운 문제는 백스테핑 동적 표면 제어(DSC)와 분수 적응형 2형 퍼지 기술을 결합합니다. ^[15] 이 논문에서는 매개변수가 완전히 알려지지 않은 다중 입력 다중 출력(MIMO) 암 면역 치료 시스템을 위한 강력한 유한 시간 적응 퍼지 백스테핑 제어 설계를 다룹니다. ^[16] nan ^[17] nan ^[18] nan ^[19] nan ^[20] nan ^[21] nan ^[22] nan ^[23] 이 논문에서는 모델 참조 적응 시스템(MRAS)을 사용하여 속도를 얻은 알 수 없는 모델, 불확실한 부하-토크 및 비선형 마찰을 갖는 유도 기계에 대한 센서리스 적응형 신경 퍼지 백스테핑 제어 방식을 개발했습니다. ^[24] 이 논문에서는 매개변수가 완전히 알려지지 않은 다중 입력 다중 출력(MIMO) 암 면역 치료 시스템을 위한 강력한 유한 시간 적응 퍼지 백스테핑 제어 설계를 다룹니다. ^[25] nan ^[26] nan ^[27]

dynamic surface control

In this paper, a singularity-free adaptive fuzzy backstepping control (AFBC) scheme is presented for uncertain nonlinear SISO systems with triangular structure by using dynamic surface control (DSC) design technique. ^[1] A new problem of observer-based fractional adaptive type-2 fuzzy backstepping control for a class of fractional-order MIMO nonlinear dynamic systems with dead-zone input nonlinearity is considered in the presence of model uncertainties and external disturbances where the control scheme is constructed by combining the backstepping dynamic surface control (DSC) and fractional adaptive type-2 fuzzy technique. ^[2] The nonlinear uncertainties are approximated by using the fuzzy logic systems at the first stage, secondly the adaptive fuzzy dynamic surface control is introduced to remove the problem of the explosion of complexity for the derivation of the adaptive fuzzy backstepping control, thirdly a new saturation function for state constraints is proposed to design the controllers based on the Lyapunov function, fourthly the number of the adjustable parameters is reduced by using the simplified extended single input rule modules, and finally the weighted least squares estimator to take the estimates for the un-measurable states and the adjustable parameters is in a simplified structure designed. ^[3] This paper proposes an adaptive fuzzy backstepping dynamic surface control (DSC) method for a class of single-input-single-output (SISO) strict-feedback fractional-order nonlinear systems with uncertain nonlinearities. ^[4]
이 논문에서는 DSC(Dynamic Surface Control) 설계 기법을 사용하여 삼각형 구조의 불확실한 비선형 SISO 시스템에 대해 특이점이 없는 AFBC(Adaptive Fuzzy Backstepping Control) 방식을 제시합니다. ^[1] 데드존 입력 비선형성이 있는 분수 차수 MIMO 비선형 동적 시스템 클래스에 대한 관찰자 기반 분수 적응 유형 2 퍼지 백스테핑 제어의 새로운 문제는 백스테핑 동적 표면 제어(DSC)와 분수 적응형 2형 퍼지 기술을 결합합니다. ^[2] nan ^[3] nan ^[4]

Adaptive Fuzzy Backstepping 적응형 퍼지 백스테핑

In this paper, the adaptive fuzzy backstepping control problem is considered for a class of single-input single-output (SISO) unknown uncertain nonaffine nonlinear systems in strict-feedback form. ^[1] Subsequently, considering physical limitations and performance requirements, a novel time-varying BLF-based adaptive fuzzy backstepping control scheme is designed for the uncertain nonstrict-feedback nonlinear systems to realize superior tracking performances and keep the states staying in predefined time-varying compact regions during operations. ^[2] An adaptive fuzzy backstepping control strategy combining with nonlinear disturbance observer is studied to synthetically control the posture for the underactuated MCPSS with tension constraint in this article. ^[3] In order to deal with the tracking error constraint, a stochastic Barrier Lyapunov function (BLF) is utilized to the adaptive fuzzy backstepping control design. ^[4] Based on Barrier Lyapunov Function(BLF), an adaptive fuzzy backstepping control is proposed for a continuous reaction stirred reactor(CSTR) with input saturation and output constraint. ^[5] To achieve these goals, this paper proposes two novel adaptive fuzzy backstepping control methods for two sets of paralleled DC–DC converters. ^[6] In this paper, an optimal robust adaptive fuzzy backstepping control is presented to the position control of the electro-hydraulic servo (EHS) system in the presence of structured and unstructured uncertainties. ^[7] A novel fixed-time adaptive fuzzy backstepping control (BC) scheme is proposed by integrating the fuzzy logic systems and fixed-time control technique into each step of the BC design. ^[8] This paper proposes an adaptive fuzzy backstepping control (AFBSC) for a Segway ball system. ^[9] Further, an adaptive fuzzy backstepping control strategy has been developed for the considered attitude stabilization issue, where the adaptive fuzzy logic method is used to approximate the rigid-flexible coupled nonlinearity of the spacecraft. ^[10] In this paper, a singularity-free adaptive fuzzy backstepping control (AFBC) scheme is presented for uncertain nonlinear SISO systems with triangular structure by using dynamic surface control (DSC) design technique. ^[11] In this paper, the design of robust finite-time adaptive fuzzy backstepping control for multi-input multi-output (MIMO) cancer immunotherapy system with fully unknown parameters is addressed. ^[12] Due to frictions and model uncertainties of the anthropomorphic arm system, an adaptive fuzzy backstepping control is proposed to ensure the stability and the adaptivity during the motion. ^[13] The nonlinear uncertainties are approximated by using the fuzzy logic systems at the first stage, secondly the adaptive fuzzy dynamic surface control is introduced to remove the problem of the explosion of complexity for the derivation of the adaptive fuzzy backstepping control, thirdly a new saturation function for state constraints is proposed to design the controllers based on the Lyapunov function, fourthly the number of the adjustable parameters is reduced by using the simplified extended single input rule modules, and finally the weighted least squares estimator to take the estimates for the un-measurable states and the adjustable parameters is in a simplified structure designed. ^[14] This paper proposes an adaptive fuzzy backstepping synchronization control method for a class of factional-order chaotic systems with input saturation and unknown external disturbance, where the fractional-order derivative of the virtual control function is treated as a part of an unknown function. ^[15] To solve the above problems, an adaptive fuzzy backstepping controller is designed in this paper. ^[16] This article deals with the design of adaptive fuzzy backstepping control for uncertain nonlinear systems in strict-feedback form with tracking error constraints. ^[17] We design the adaptive fuzzy-approximation control strategy and combining the synthesis of the robust design, backstepping control, and Lyapunov function method, the proposed adaptive fuzzy backstepping control does not need to know the humanoid robot’s arms model precisely. ^[18] Both the state feedback containment control and the observer-based output feedback containment control are constructed by combining distributed sliding-mode estimators with adaptive fuzzy backstepping control. ^[19] In this paper, the design of robust finite-time adaptive fuzzy backstepping control for multi-input multi-output (MIMO) cancer immunotherapy system with fully unknown parameters is addressed. ^[20] This paper develops a fractional-order adaptive fuzzy backstepping control scheme for incommensurate fractional-order nonlinear uncertain systems with external disturbances and input saturation. ^[21] This paper proposes an adaptive fuzzy backstepping dynamic surface control (DSC) method for a class of single-input-single-output (SISO) strict-feedback fractional-order nonlinear systems with uncertain nonlinearities. ^[22]
본 논문에서는 SISO(Single-Input Single-Output)의 알려지지 않은 불확실한 비친선형 비선형 시스템(Strict-feedback form)에 대한 적응형 퍼지 백스테핑 제어 문제를 고려한다. ^[1] 결과적으로 물리적 한계와 성능 요구 사항을 고려하여 불확실한 nonstrict-feedback 비선형 시스템에 대해 새로운 시변 BLF 기반 적응형 퍼지 백스테핑 제어 체계가 설계되어 우수한 추적 성능을 실현하고 사전 정의된 시변 컴팩트 영역에 상태를 유지합니다. 작업. ^[2] nan ^[3] nan ^[4] nan ^[5] nan ^[6] nan ^[7] nan ^[8] nan ^[9] nan ^[10] 이 논문에서는 DSC(Dynamic Surface Control) 설계 기법을 사용하여 삼각형 구조의 불확실한 비선형 SISO 시스템에 대해 특이점이 없는 AFBC(Adaptive Fuzzy Backstepping Control) 방식을 제시합니다. ^[11] 이 논문에서는 매개변수가 완전히 알려지지 않은 다중 입력 다중 출력(MIMO) 암 면역 치료 시스템을 위한 강력한 유한 시간 적응 퍼지 백스테핑 제어 설계를 다룹니다. ^[12] nan ^[13] nan ^[14] nan ^[15] nan ^[16] nan ^[17] nan ^[18] nan ^[19] 이 논문에서는 매개변수가 완전히 알려지지 않은 다중 입력 다중 출력(MIMO) 암 면역 치료 시스템을 위한 강력한 유한 시간 적응 퍼지 백스테핑 제어 설계를 다룹니다. ^[20] nan ^[21] nan ^[22]

2 Fuzzy Backstepping

The proposed techniques were applied to the TRMS, where the real time implementation of type-2 fuzzy backstepping sliding mode controller (T2FBSMC) were proposed for control system in the presence of external distrubances. ^[1] A new problem of observer-based fractional adaptive type-2 fuzzy backstepping control for a class of fractional-order MIMO nonlinear dynamic systems with dead-zone input nonlinearity is considered in the presence of model uncertainties and external disturbances where the control scheme is constructed by combining the backstepping dynamic surface control (DSC) and fractional adaptive type-2 fuzzy technique. ^[2]
제안된 기술은 TRMS에 적용되었으며, 외부 장애가 있는 경우 제어 시스템에 유형 2 퍼지 백스테핑 슬라이딩 모드 컨트롤러(T2FBSMC)의 실시간 구현이 제안되었습니다. ^[1] 데드존 입력 비선형성이 있는 분수 차수 MIMO 비선형 동적 시스템 클래스에 대한 관찰자 기반 분수 적응 유형 2 퍼지 백스테핑 제어의 새로운 문제는 백스테핑 동적 표면 제어(DSC)와 분수 적응형 2형 퍼지 기술을 결합합니다. ^[2]

fuzzy backstepping control 퍼지 백스테핑 제어

In this paper, the adaptive fuzzy backstepping control problem is considered for a class of single-input single-output (SISO) unknown uncertain nonaffine nonlinear systems in strict-feedback form. ^[1] Subsequently, considering physical limitations and performance requirements, a novel time-varying BLF-based adaptive fuzzy backstepping control scheme is designed for the uncertain nonstrict-feedback nonlinear systems to realize superior tracking performances and keep the states staying in predefined time-varying compact regions during operations. ^[2] An adaptive fuzzy backstepping control strategy combining with nonlinear disturbance observer is studied to synthetically control the posture for the underactuated MCPSS with tension constraint in this article. ^[3] In order to deal with the tracking error constraint, a stochastic Barrier Lyapunov function (BLF) is utilized to the adaptive fuzzy backstepping control design. ^[4] Based on Barrier Lyapunov Function(BLF), an adaptive fuzzy backstepping control is proposed for a continuous reaction stirred reactor(CSTR) with input saturation and output constraint. ^[5] To achieve these goals, this paper proposes two novel adaptive fuzzy backstepping control methods for two sets of paralleled DC–DC converters. ^[6] In this paper, an optimal robust adaptive fuzzy backstepping control is presented to the position control of the electro-hydraulic servo (EHS) system in the presence of structured and unstructured uncertainties. ^[7] A novel fixed-time adaptive fuzzy backstepping control (BC) scheme is proposed by integrating the fuzzy logic systems and fixed-time control technique into each step of the BC design. ^[8] This paper proposes an adaptive fuzzy backstepping control (AFBSC) for a Segway ball system. ^[9] Further, an adaptive fuzzy backstepping control strategy has been developed for the considered attitude stabilization issue, where the adaptive fuzzy logic method is used to approximate the rigid-flexible coupled nonlinearity of the spacecraft. ^[10] In this paper, a singularity-free adaptive fuzzy backstepping control (AFBC) scheme is presented for uncertain nonlinear SISO systems with triangular structure by using dynamic surface control (DSC) design technique. ^[11] A new problem of observer-based fractional adaptive type-2 fuzzy backstepping control for a class of fractional-order MIMO nonlinear dynamic systems with dead-zone input nonlinearity is considered in the presence of model uncertainties and external disturbances where the control scheme is constructed by combining the backstepping dynamic surface control (DSC) and fractional adaptive type-2 fuzzy technique. ^[12] In this paper, the design of robust finite-time adaptive fuzzy backstepping control for multi-input multi-output (MIMO) cancer immunotherapy system with fully unknown parameters is addressed. ^[13] Due to frictions and model uncertainties of the anthropomorphic arm system, an adaptive fuzzy backstepping control is proposed to ensure the stability and the adaptivity during the motion. ^[14] The nonlinear uncertainties are approximated by using the fuzzy logic systems at the first stage, secondly the adaptive fuzzy dynamic surface control is introduced to remove the problem of the explosion of complexity for the derivation of the adaptive fuzzy backstepping control, thirdly a new saturation function for state constraints is proposed to design the controllers based on the Lyapunov function, fourthly the number of the adjustable parameters is reduced by using the simplified extended single input rule modules, and finally the weighted least squares estimator to take the estimates for the un-measurable states and the adjustable parameters is in a simplified structure designed. ^[15] This article deals with the design of adaptive fuzzy backstepping control for uncertain nonlinear systems in strict-feedback form with tracking error constraints. ^[16] We design the adaptive fuzzy-approximation control strategy and combining the synthesis of the robust design, backstepping control, and Lyapunov function method, the proposed adaptive fuzzy backstepping control does not need to know the humanoid robot’s arms model precisely. ^[17] Both the state feedback containment control and the observer-based output feedback containment control are constructed by combining distributed sliding-mode estimators with adaptive fuzzy backstepping control. ^[18] In this paper, a sensorless adaptive neuro-fuzzy backstepping control scheme is developed for induction machines with unknown model, uncertain load-torque and nonlinear friction where the speed is obtained using the model reference adaptive system (MRAS). ^[19] In this paper, the design of robust finite-time adaptive fuzzy backstepping control for multi-input multi-output (MIMO) cancer immunotherapy system with fully unknown parameters is addressed. ^[20] This paper develops a fractional-order adaptive fuzzy backstepping control scheme for incommensurate fractional-order nonlinear uncertain systems with external disturbances and input saturation. ^[21]
본 논문에서는 SISO(Single-Input Single-Output)의 알려지지 않은 불확실한 비친선형 비선형 시스템(Strict-feedback form)에 대한 적응형 퍼지 백스테핑 제어 문제를 고려한다. ^[1] 결과적으로 물리적 한계와 성능 요구 사항을 고려하여 불확실한 nonstrict-feedback 비선형 시스템에 대해 새로운 시변 BLF 기반 적응형 퍼지 백스테핑 제어 체계가 설계되어 우수한 추적 성능을 실현하고 사전 정의된 시변 컴팩트 영역에 상태를 유지합니다. 작업. ^[2] nan ^[3] nan ^[4] nan ^[5] nan ^[6] nan ^[7] nan ^[8] nan ^[9] nan ^[10] 이 논문에서는 DSC(Dynamic Surface Control) 설계 기법을 사용하여 삼각형 구조의 불확실한 비선형 SISO 시스템에 대해 특이점이 없는 AFBC(Adaptive Fuzzy Backstepping Control) 방식을 제시합니다. ^[11] 데드존 입력 비선형성이 있는 분수 차수 MIMO 비선형 동적 시스템 클래스에 대한 관찰자 기반 분수 적응 유형 2 퍼지 백스테핑 제어의 새로운 문제는 백스테핑 동적 표면 제어(DSC)와 분수 적응형 2형 퍼지 기술을 결합합니다. ^[12] 이 논문에서는 매개변수가 완전히 알려지지 않은 다중 입력 다중 출력(MIMO) 암 면역 치료 시스템을 위한 강력한 유한 시간 적응 퍼지 백스테핑 제어 설계를 다룹니다. ^[13] nan ^[14] nan ^[15] nan ^[16] nan ^[17] nan ^[18] 이 논문에서는 모델 참조 적응 시스템(MRAS)을 사용하여 속도를 얻은 알 수 없는 모델, 불확실한 부하-토크 및 비선형 마찰을 갖는 유도 기계에 대한 센서리스 적응형 신경 퍼지 백스테핑 제어 방식을 개발했습니다. ^[19] 이 논문에서는 매개변수가 완전히 알려지지 않은 다중 입력 다중 출력(MIMO) 암 면역 치료 시스템을 위한 강력한 유한 시간 적응 퍼지 백스테핑 제어 설계를 다룹니다. ^[20] nan ^[21]

fuzzy backstepping sliding 퍼지 백스테핑 슬라이딩

This paper investigates the issue of tracking control of nonlinear system with external disturbance , an event-triggered fuzzy backstepping sliding-mode control strategy is proposed. ^[1] In this paper, the design of a fractional-order hyperbolic adaptive neuro-fuzzy backstepping sliding mode controller (HANFBSMC) has been addressed for a class of fractional-order chaotic systems with time-varying delays in their states, control inputs, disturbances and uncertainties. ^[2] The proposed techniques were applied to the TRMS, where the real time implementation of type-2 fuzzy backstepping sliding mode controller (T2FBSMC) were proposed for control system in the presence of external distrubances. ^[3]
본 논문에서는 외부 외란이 있는 비선형 시스템의 추적 제어 문제를 조사하고 이벤트 트리거 퍼지 백스테핑 슬라이딩 모드 제어 전략을 제안합니다. ^[1] 이 백서에서 분수 차수 쌍곡선 적응형 신경 퍼지 백스테핑 슬라이딩 모드 컨트롤러(HANFBSMC)의 설계는 상태, 제어 입력, 교란 및 불확실성에서 시간에 따라 지연되는 지연이 있는 분수 차수 혼돈 시스템 클래스에 대해 해결되었습니다. . ^[2] 제안된 기술은 TRMS에 적용되었으며, 외부 장애가 있는 경우 제어 시스템에 유형 2 퍼지 백스테핑 슬라이딩 모드 컨트롤러(T2FBSMC)의 실시간 구현이 제안되었습니다. ^[3]