Article
Engineering, Civil
Jaswandi Sawant, Uttam Chaskar, Divyesh Ginoya
Summary: This paper proposes a sliding mode control approach for the CACC system, which improves system performance and stability by estimating uncertainties and disturbances.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Automation & Control Systems
Daikun Chao, Ruiyun Qi, Bin Jiang
Summary: This paper presents a novel fast attitude adaptive fault-tolerant control scheme based on adaptive neural network and command filter for hypersonic reentry vehicles with complex uncertainties. The scheme improves control performance by using command filter and neural network to reconstruct system nonlinearities related to complex uncertainties, resulting in reduced computational complexity and improved control efficiency.
JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Mechanical
Danni Shi, Jinhui Zhang, Zhongqi Sun, Yuanqing Xia
Summary: This paper investigates the problem of composite trajectory tracking control for robot manipulator with lumped uncertainties, including unmodeled dynamics and external disturbances. An adaptive sliding mode disturbance observer is proposed to estimate the unknown lumped uncertainties in the absence of prior upper bound information. By combining non-singular terminal sliding mode control and prescribed performance control approaches, a composite trajectory tracking controller is designed to guarantee finite-time convergence of trajectory tracking errors and prescribed performances. Numerical simulations on a two-DOF manipulator system verify the effectiveness and advantages of the proposed control scheme.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Aerospace
Hao Zhang, Peng Wang, Guojian Tang, Weimin Bao
Summary: This research focuses on the attitude-tracking problem of hypersonic morphing vehicles in the presence of multi-source uncertainties. It proposes the sliding mode control technique and a novel fixed-time disturbance observer to achieve fast, robust, and adaptive flight control.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Jinhui Zhang, Duanduan Chen, Ganghui Shen, Zhongqi Sun, Yuanqing Xia
Summary: In this paper, disturbance observer based adaptive sliding mode control approaches are proposed for Takagi-Sugeno fuzzy systems with unknown external disturbance. By designing novel dynamic sliding surfaces and adaptive laws, both state- and output-based controllers are designed without input matrix constraints, incorporating disturbance estimates to achieve active disturbance rejection. The effectiveness of the proposed control approaches is demonstrated through numerical examples.
Article
Engineering, Mechanical
Xin Ji, Xinhua Wei, Anzhe Wang, Bingbo Cui, Qi Song
Summary: In recent years, unmanned vehicles in agricultural applications have gained significant attention due to the rapid development of global positioning systems, inertial navigation technology, and control theory. This study presents a novel sliding mode controller for lateral path tracking control of farm vehicles in the presence of unknown disturbances. The proposed controller outperforms traditional path tracking controllers, as demonstrated by numerical simulations.
NONLINEAR DYNAMICS
(2022)
Article
Engineering, Aerospace
Erkang Chen, Wuxing Jing, Changsheng Gao
Summary: This paper proposes a novel control scheme that achieves precise attitude control and active flexible vibration suppression by utilizing techniques such as moving horizon estimator, sliding mode disturbance observer, gain adaptation law, and baseline hierarchical sliding mode controller. The effectiveness of the proposed control scheme against aeroservoelastic effect, uncertainty, and external disturbance is verified through numerical simulations, proving the stability of the system with the Lyapunov theory.
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING
(2021)
Article
Computer Science, Artificial Intelligence
Jixing Lv, Changhong Wang, Yonggui Kao
Summary: This paper focuses on the problem of adaptive fixed-time quantized fault-tolerant attitude tracking for hypersonic reentry vehicles (HRV). The paper proposes a control scheme that can handle nonlinearities, system uncertainties, and actuator faults of the HRV. The proposed scheme includes a disturbance observer and a sliding mode controller, which can achieve fixed-time convergence and reduce communication load. The effectiveness of the proposed scheme is demonstrated through numerical simulations.
Article
Energy & Fuels
Tianhao Wen, Yang Liu, Q. H. Wu, Luonan Qiu
Summary: A cascaded sliding-mode observer based output feedback controller for MIMO system is proposed in this paper, designed based on feedback linearization control strategy. The observer provides accurate estimates of states and perturbations, ensuring Lyapunov stability of the closed-loop system and output tracking control. Simulation studies on SWNCSIB system validate the performance of the proposed observer-based output feedback controller.
CSEE JOURNAL OF POWER AND ENERGY SYSTEMS
(2021)
Article
Computer Science, Information Systems
Kai-Yu Hu, Yuqing Cheng, Chunxia Yang
Summary: This paper presents an adaptive hybrid compensation scheme for disturbances and uncertain inertia parameters of variable-structure hypersonic flight vehicles (HFV). The proposed scheme utilizes a nominal nonlinear dynamic inverse (NDI) controller and adaptive control algorithms to ensure precise tracking of reference commands and robustness against inertia uncertainty, while reducing vibrations.
Article
Engineering, Aerospace
Haolan Chen, Peng Wang, Guojian Tang
Summary: This work focuses on attitude control problem for hypersonic morphing vehicles (HMVs) with uncertainties. A disturbance observer with fuzzy logic system (FLS) is proposed to enhance the robustness. The control system degenerates into an autonomous system, and the closed-loop fixed-time stability is guaranteed via Lyapunov synthesis and homogeneity theory.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Mathematics, Applied
Honglei Yin, Bo Meng, Zhen Wang
Summary: This article addresses the synchronization control problem of a class of chaotic systems with unknown uncertainties and outside perturbation by using an innovative adaptive sliding mode controller constructed using a disturbance observer. The disturbance observer can approximate the unknown external disturbances well by choosing the appropriate gain matrix. Then, a continuous adaptive sliding mode controller based on the disturbance observer's output is designed using adaptive techniques and the system dimensional expansion method. The efficiency of the suggested strategy is finally tested numerically using the Duffing-Holmes chaotic system.
Article
Engineering, Electrical & Electronic
Jianshan Zhou, Daxin Tian, Zhengguo Sheng, Xuting Duan, Guixian Qu, Dongpu Cao, Xuemin Shen
Summary: A novel decentralized robust control approach is proposed in this paper to address the external disturbances in vehicle platooning. By combining a super-twisting second-order sliding mode strategy and a disturbance observer, a super-twisting SOSMDO platoon controller is designed, and the theoretical analysis proves its convergence and stability.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Marine
Yushan Sun, Puxin Chai, Guocheng Zhang, Tian Zhou, Haotian Zheng
Summary: This paper proposes a sliding mode control method with dual-observer estimation to address the AUV 3D motion control problem in the presence of thruster misalignment uncertainty and thrust loss uncertainty. By considering the force and moment deviation as disturbances and introducing disturbance observers, the designed controller ensures better motion control for the AUV despite thruster misalignment and thrust loss.
JOURNAL OF MARINE SCIENCE AND ENGINEERING
(2022)
Letter
Automation & Control Systems
Huayang Sai, Zhenbang Xu
Summary: A flaw is identified in the proof of a central result (Theorem 2) in a recent paper by Zhang et al. (2021).
Article
Automation & Control Systems
Zongyi Guo, Tiago Roux Oliveira, Jianguo Guo, Zheng Wang
Summary: This article introduces a performance-guaranteed adaptive asymptotic tracking control scheme for nonlinear systems with unknown sign-switching control direction. By using periodic sliding mode technique and equivalent control-based adaptive mechanism, the proposed control approach ensures finite-time reaching of the sliding mode surface, leading to asymptotic stability rather than just boundedness of signals. At the same time, the tracking performance is strictly guaranteed within preassigned performance bounds even when the unknown control coefficients switch to the opposite direction. The effectiveness of the proposed control law is verified through numerical simulations.
IEEE TRANSACTIONS ON AUTOMATIC CONTROL
(2023)
Article
Automation & Control Systems
Jianguo Guo, Jiaqi Wang, Zongyi Guo, Yalu Su
Summary: This paper proposes a control method based on periodic sliding mode technology and adaptive dynamic programming algorithm for the attitude dynamics of hypersonic flight vehicle. The method effectively handles the unknown control direction in a single channel and achieves stability and rapidity through mathematical model decomposition and control law design.
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL
(2023)
Article
Engineering, Aerospace
Dalong Tian, Jianguo Guo, Zongyi Guo
Summary: In this study, multi-objective optimization and decision-making are conducted to find the optimal positions of actuators for vibration mitigation of LFSS. The CADP control method is used to accelerate vibration attenuation. The electromechanical coupled dynamic model of LFSS is built and a multi-objective optimization criterion is proposed to maximize actuation efficiency and control input decoupling. The NSDE and TOPSIS algorithms are employed to find the optimal actuator positions, and the stability of the CADP control algorithm is proven. Simulation results confirm the effectiveness of the proposed optimization criterion and CADP algorithm for LFSS vibration mitigation.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Guanjie Hu, Jianguo Guo, Zongyi Guo, Jerome Cieslak, David Henry
Summary: This article proposes an adaptive dynamic programming-based intelligent control algorithm to address the issue of attitude tracking for reentry vehicles under simultaneous model and state uncertainties. Traditional control approaches struggle to achieve satisfactory tracking performance due to the influence of both uncertainties on the model and state. The article transforms the attitude tracking issue into an optimal regulation problem of the tracking error, and introduces a novel cost function inspired by the concept of zero-sum game to eliminate model uncertainties. State uncertainties are dynamically handled by updating weights based on the optimality principle of the critic network. The resulting intelligent tracking control law is obtained through optimal regulation. The stability of the system and the convergence of network weights are analyzed using the Lyapunov stability theory. Simulations verify the effectiveness of the proposed control scheme.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Engineering, Mechanical
Jianguo Guo, Dalong Tian, He Huang, Zongyi Guo, Zhenxin Feng
Summary: A control scheme is presented to attenuate the vibration of the large flexible space structures (LFSS), which includes the optimization of actuator positions and the design of the robust vibration control algorithm. The optimization criterion does not depend on the controller parameters, and robust adaptive dynamic programming (RADP) can effectively suppress the vibration of the LFSS under mixed continuous disturbance and model uncertainties.
JOURNAL OF VIBRATION ENGINEERING & TECHNOLOGIES
(2023)
Article
Engineering, Aerospace
Jiangfeng Fu, Fangqi Hong, Pengfei Wei, Zongyi Guo, Yuannan Xu, Weikai Gao
Summary: Due to limited information at the early design stage, evaluating the reliability of aerospace structures accurately is challenging. Imprecise probability models are widely developed and accepted for separating uncertainties, but propagating these models through expensive simulators is difficult. To address this, a Bayesian active learning method is proposed for efficiently learning failure probability and response variance. This method is effective and provides accurate results.
AEROSPACE SCIENCE AND TECHNOLOGY
(2023)
Article
Automation & Control Systems
Guanjie Hu, Jianguo Guo, Jerome Cieslak, Yixin Ding, Zongyi Guo, David Henry
Summary: This paper addresses the fault tolerant control problem for reentry vehicles subject to actuator fault and perturbation. The adaptive dynamic programming (ADP) control algorithm is used to handle the dependence of closed-loop states induced by an active fault tolerant control strategy. The paper transforms the fault tolerant control problem into an error-optimal control problem and uses a cost function based on zero-sum game theory to achieve tracking under the joint influence of state-dependent faults and perturbations. Lyapunov theory is applied to prove the stability of the fault tolerant control architecture and the convergence of network weights. The benefits of the proposed ADP-FTC algorithm are demonstrated on a numerical benchmark of reentry vehicles.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2023)
Article
Food Science & Technology
Junhua Du, Mailin Gan, Zhongwei Xie, Chengpeng Zhou, Menglin Li, Meng Wang, Haodong Dai, Zhiyang Huang, Lei Chen, Ye Zhao, Lili Niu, Shunhua Zhang, Zongyi Guo, Jinyong Wang, Xuewei Li, Linyuan Shen, Li Zhu
Summary: Meat adulteration, whether intentional or unintentional, can violate consumer rights, endanger public health, disrupt the market, and hinder meat industry development. Therefore, it is crucial to develop fast and efficient detection methods for meat adulteration to ensure food safety. Adulteration detection technologies can be classified based on the target substances into protein-, metabolite-, or nucleic acids-based methods. While these techniques have shown promising results, there are still certain limitations. This review aims to provide a comprehensive summary of the latest advancements in meat adulteration detection technologies, serving as a valuable reference for food safety authorities and researchers in this field.
Article
Reproductive Biology
Pingxian Wu, Xiang Ji, Jie Chai, Li Chen, Kai Wang, Shujie Wang, Liang Zhang, Lijuan Zhang, Siqing Chen, Zongyi Guo, Jinyong Wang, Guoqing Tang
Summary: Mummified piglets are a major cause of fertility loss and reproductive impairment in pigs, but the influence of genomic variation on their emergence is rarely studied. This study used a single-step genome-wide association study (ssGWAS) to investigate the genetic architecture of mummified piglets in sows of parity 1-3. The results identified significant SNPs associated with mummified piglets in different pig breeds and highlighted the role of candidate genes in fetal and maternal diseases.
Article
Engineering, Aerospace
Yixin Ding, Zongyi Guo, Yonglin Han, Jiaqi Wang, Jianguo Guo, Zequn Liu, Jinlong Zhao
Summary: This paper investigates the control direction reversal issue for the attitude control design for hypersonic reentry vehicles and proposes a novel sliding mode control law to address this issue. The disturbance observer is introduced to estimate the unmatched uncertainties in the attitude model, and a periodic function-involved sliding mode control is presented. The simulation verifies the effectiveness and superiority of the proposed control method.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES
(2023)
Article
Engineering, Aerospace
Jianguo Guo, Ningbo Lu, Ruimin Jiang, Zongyi Guo
Summary: This paper presents an integrated guidance and control (IGC) strategy for reentry vehicles with a strapdown seeker subject to body line-of-sight (BLOS) angle constraint. It proposes a novel explicit reference governor-based IGC scheme to address the BLOS angle constraint caused by the strapdown mechanism. The design includes an adaptive terminal sliding mode control (ATSMC) for the IGC model to ensure compliance with the BLOS angle constraint.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES
(2023)
Article
Engineering, Aerospace
Hao Zhang, Jun Zhou, Guanghui Liu, Zongyi Guo
Summary: The thermal interface of a modular microsatellite acts as a multi-layer structure to facilitate heat transfer and maintain the temperature within a safe range. A one-dimensional RC heat transfer model, combining thermal-electric analogy, considers heat conduction, radiation, convection, and thermal contact resistance to describe the temperature variation at the thermal interface. Experimental results confirm the improved accuracy (4.1%) of temperature prediction compared to models considering only heat conduction.
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES
(2023)
Review
Biochemistry & Molecular Biology
Xinrong Li, Yuxu He, Shuang Wu, Peiwen Zhang, Mailin Gan, Lei Chen, Ye Zhao, Lili Niu, Shunhua Zhang, Yanzhi Jiang, Zongyi Guo, Jinyong Wang, Linyuan Shen, Li Zhu
Summary: SIRT1, a member of the sirtuin family, is involved in regulating various physiological processes such as cell proliferation, apoptosis, cell cycle progression, and insulin signaling. Recent studies have shown that caloric restriction can increase ovarian reserves, suggesting a potential regulatory role of SIRT1 in reproductive capacity.
CURRENT ISSUES IN MOLECULAR BIOLOGY
(2023)
Article
Engineering, Aerospace
He Huang, Zejian Li, Zongyi Guo, Jianguo Guo, Le Suo, Haoliang Wang
Summary: This paper investigates the issue of balance control for reaction-wheeled inverted pendulum-type Cubli Rovers on asteroids, and proposes an adaptive control scheme to achieve self-balancing motion in the asteroid environment. By constructing the attitude model and analyzing the gravitational field, an adaptive prescribed performance control method is proposed, and its effectiveness and superiority are verified through simulation results.
Proceedings Paper
Automation & Control Systems
Jing Chang, Zongyi Guo, Roeland De Breuker, Xuerui Wang
Summary: The sensor-based Incremental Nonlinear Dynamic Inversion (INDI) control has demonstrated robustness in aerospace research. However, uncertainties in the control effectiveness model exist in flight control systems, especially during severe damage. This paper proposes a predictor-based gain adaptive INDI control (PGA-INDI) to handle control effectiveness parametric errors caused by structural damage, actuator faults, and model uncertainties.
