Article
Automation & Control Systems
Yueyang Wang, Fazhan Tao, Zhumu Fu, Nan Wang, Qihong Chen
Summary: This paper focuses on an adaptive fuzzy fixed-time control problem for stochastic nonstrict non-linear systems with unknown dead-zones using dynamic surface control (DSC) technology. Fuzzy logic systems (FLSs) and DSC technology are utilized to approximate nonlinear functions and reduce computational complexity. The proposed adaptive fuzzy fixed-time tracking control strategy guarantees semi-global practical fixed-time stability of the system and convergence of the tracking error to a small neighborhood near the origin, as demonstrated by simulation examples.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2023)
Article
Computer Science, Artificial Intelligence
Yongchao Liu, Qidan Zhu
Summary: In this article, the issue of adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems is studied using the backstepping algorithm. Compared with previous research, the difficulty of unknown virtual control coefficients in control design is overcome. The recursive construction of the asymptotic tracking controller is achieved through the use of bound estimation scheme, smooth functions, and approximation-based neural network, ensuring asymptotic convergence character and stability with stochastic disturbance and unknown UVCC with the help of Lyapunov function and beneficial inequalities. This theoretical finding is verified through a simulation example.
Article
Automation & Control Systems
Yongchao Liu, Qidan Zhu
Summary: An adaptive fuzzy asymptotic tracking control method is proposed for switched nonlinear systems with state constraints, utilizing fuzzy logic systems to handle unknown dynamics and the barrier Lyapunov function to address state constraints. By recursively constructing the asymptotic tracking controller based on backstepping technique, the system output tracking error is shown to converge to zero and system signals are bounded under the switching signal. The effectiveness of the developed scheme is demonstrated through simulation examples.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2022)
Article
Mathematics, Interdisciplinary Applications
Lingrong Xue, Zhen-Guo Liu
Summary: This paper investigates the robust regulation issue for high-order system and plants and proposes a new approach for adaptive control. By introducing the transformations of a parameter estimation, the studied system is transformed into a new dynamic system. Based on the adaptive method and homogeneous control, a recursive control design algorithm is provided to construct a new adaptive controller, which dominates those uncertain bounds and guarantees that the closed-loop system is semiglobally uniformly ultimately bounded (SUUB). The constructed controller employs only one adaptive law and has a much simpler form. Simulation examples verify the validness of the presented method.
Article
Computer Science, Artificial Intelligence
Xin Jin, Yuan-Xin Li, Shaocheng Tong
Summary: This article presents an adaptive event-triggered control method for uncertain nonlinear systems, ensuring asymptotic stability of the system without violating state constraints, and evaluates the effectiveness of the method through simulations.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Haixiu Xie, Yuanwei Jing, Yantong Liu, Jiqing Chen
Summary: This article focuses on event-based adaptive prescribed time tracking control for uncertain strict-feedback nonlinear systems. A novel fixed-time performance function with an infinite initial value is incorporated to ensure the tracking performance. By skillfully synthesizing adaptive technology and event-triggered mechanism, a new adaptive fuzzy event-triggered control solution is presented. Simulation studies demonstrate the effectiveness and practicability of the developed control solution.
INFORMATION SCIENCES
(2023)
Article
Chemistry, Analytical
Ha Le Nhu Ngoc Thanh, Tuan Tu Huynh, Mai The Vu, Nguyen Xuan Mung, Nguyen Ngoc Phi, Sung Kyung Hong, Truong Nguyen Luan Vu
Summary: This paper presents a trajectory tracking control method for quadcopter UAV based on nonlinear robust backstepping algorithm and extended state/disturbance observer. The proposed algorithm consists of three parts to achieve robust attitude stabilization and superior performance of three-dimension position tracking control.
Article
Automation & Control Systems
Zhengqiang Zhang, Qiufeng Wang, Shuzhi Sam Ge, Yanjun Zhang
Summary: In this article, a robust adaptive output-feedback control approach is introduced for a class of nonlinear systems with parameter uncertainties and time-varying disturbances. By utilizing feedback design and boundary estimation technique, estimation of unknown disturbances and reconstruction of states have been achieved. Simulation results demonstrate the effectiveness of the proposed method in the closed-loop control system.
IEEE TRANSACTIONS ON CYBERNETICS
(2022)
Article
Automation & Control Systems
Min Wang, Lixue Wang
Summary: This paper investigates the issue of finite-time performance guaranteed event-triggered adaptive neural tracking control for strict-feedback nonlinear systems with unknown control direction. It constructs a novel finite-time performance function to describe the prescribed tracking performance and provides a new lemma to demonstrate the differentiability and boundedness of the performance function. By utilizing error transformation technique and first-order sliding mode differentiator, the explosion of complexity caused by backstepping design is effectively addressed. An ingenious adaptive updated law is presented to co-design the controller and the ET mechanism, effectively handling the influences of measurement error and the challenge of controller design. The event-triggered control scheme guarantees tracking performance and alleviates communication burden simultaneously.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Automation & Control Systems
Wei Sun, Shun-Feng Su, Jianwei Xia, Guangming Zhuang
Summary: A novel adaptive fuzzy prescribed performance tracking control method is proposed in this article, effectively addressing the control problem of strict-feedback stochastic uncertain nonlinear systems. The effectiveness of the method is verified through simulation examples.
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
(2021)
Article
Automation & Control Systems
Milad Shahvali, Mohammad-Bagher Naghibi-Sistani, Javad Askari
Summary: This paper assesses the tracking problem of fractional-order nonlinear systems by introducing new event-triggered control designs, which include two adaptive fault compensation event-triggered schemes and propose static and dynamic event-triggered strategies. It is demonstrated that the Zeno phenomenon is strictly avoided in the proposed control methods.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2021)
Article
Automation & Control Systems
Lili Zhang, Bing Chen, Chong Lin, Yun Shang
Summary: This paper addresses the finite-time consensus tracking control problem of nonlinear multi-agent systems by proposing a finite-time fuzzy adaptive consensus tracking protocol using fuzzy logic systems to approximate unknown nonlinear functions. The design scheme successfully overcomes singularity problems and ensures convergence of consensus tracking errors to a small neighborhood of the origin in finite time with bounded signals for multi-agent systems. The effectiveness of the proposed control protocol is verified through a numerical example.
INTERNATIONAL JOURNAL OF SYSTEMS SCIENCE
(2021)
Article
Energy & Fuels
Ijaz Ahmed, Iftikhar Ahmad, Shahzad Ahmed, Hafiz Mian Muhammad Adil
Summary: Three sliding mode controllers for battery electric vehicle charging units were designed, with the supertwisting sliding mode controller effectively reducing chattering and exhibiting better dynamic performance in G2V mode. Through simulation and hardware in the loop experiments, the robustness and effectiveness of the proposed controller were verified.
JOURNAL OF ENERGY STORAGE
(2021)
Article
Computer Science, Artificial Intelligence
Yuan-Xin Li, Xiaoyan Hu, Weiwei Che, Zhongsheng Hou
Summary: This article introduces a novel adaptive ETC framework for asymptotic tracking of uncertain nonlinear systems in the presence of unknown virtual control coefficients. The proposed approach effectively counteracts the effects caused by unknown UVCC and uncertainties, achieving successful convergence to zero of the tracking error and boundedness of the closed-loop system, as demonstrated in a simulation example.
IEEE TRANSACTIONS ON FUZZY SYSTEMS
(2021)
Article
Computer Science, Information Systems
P. Parsa, M-R Akbarzadeh-T, F. Baghbani
Summary: This study introduces a command-filtered backstepping H1 robust adaptive emotional controller for strict-feedback nonlinear systems with mismatched uncertainties. The controller utilizes command filters and compensating filters to handle matched/mismatched uncertainties and disturbances, requiring only the known and continuous reference signal and its first derivative.
INFORMATION SCIENCES
(2021)
