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Fixed-time constrained acceleration reconstruction scheme for robotic exoskeleton via neural networks Research

Tao Xue, Zi-wei Wang, Tao Zhang, Ou Bai, Meng Zhang, Bin Han,taozhang@tsinghua.edu.cn

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 5,   Pages 649-808 doi: 10.1631/FITEE.1900418

Abstract: Accurate acceleration acquisition is a critical issue in the system, but it is difficult to directly obtain the acceleration via the existing sensing systems. The existing algorithm-based acceleration acquisition methods put more attention on finite-time convergence and disturbance suppression but ignore the error constraint and s. To this end, a novel radical bias function neural network (RBFNN) based fixed-time reconstruction scheme with error constraints is designed to realize high-performance acceleration estimation. In this scheme, a novel exponential-type is proposed to handle the error constraints. It also provides a unified and concise Lyapunov stability-proof template for constrained and non-constrained systems. Moreover, a fractional power sliding mode control law is designed to realize , where the convergence time is irrelevant to initial states or external disturbance, and depends only on the chosen parameters. To further enhance observer robustness, an RBFNN with the adaptive weight matrix is proposed to approximate and attenuate the completely unknown disturbances. Numerical simulation and human subject experimental results validate the unique properties and practical robustness.

Keywords： 加速度重构；固定时间收敛；约束控制；障碍李雅普诺夫函数；初始状态无关方法；外骨骼机器人    

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Adaptive tracking control for air-breathing hypersonic vehicles with state constraints Article

Gong-jun LI

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 5,   Pages 599-614 doi: 10.1631/FITEE.1500464

Abstract: We investigate the adaptive tracking problem for the longitudinal dynamics of state-constrained airbreathing hypersonic vehicles, where not only the velocity and the altitude, but also the angle of attack (AOA) is required to be tracked. A novel indirect AOA tracking strategy is proposed by viewing the pitch angle as a new output and devising an appropriate pitch angle reference trajectory. Then based on the redefined outputs (i.e., the velocity, the altitude, and the pitch angle), a modified backstepping design is proposed where the barrier Lyapunov function is used to solve the state-constrained control problem and the control gain of this class of systems is unknown. Stability analysis is given to show that the tracking objective is achieved, all the closed-loop signals are bounded, and all the states always satisfy the given constraints. Finally, numerical simulations verify the effectiveness of the proposed approach.

Keywords： Hypersonic vehicle     Constraints     Output redefinition     Barrier Lyapunov function    

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Construction of a new Lyapunov function for a dissipative gyroscopic system using the residual energy function Personal View

Cem CİVELEK, Özge CİHANBEĞENDİ

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 4,   Pages 629-634 doi: 10.1631/FITEE.1900014

Abstract: In a dissipative gyroscopic system with four degrees of freedom and tensorial variables in contravariant (right upper index) and covariant (right lower index) forms, a Lagrangian-dissipative model, i.e., {L, D}-model, is obtained using second-order linear differential equations. The generalized elements are determined using the {L, D}-model of the system. When the prerequisite of a Legendre transform is fulfilled, the Hamiltonian is found. The Lyapunov function is obtained as a residual energy function (REF). The REF consists of the sum of Hamiltonian and losses or dissipative energies (which are negative), and can be used for stability by Lyapunov’s second method. Stability conditions are mathematically proven.

Keywords： Lyapunov function     Residual energy function     Stability of dissipative gyroscopic system    

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Cross-industry standard test method developments: from manufacturing to wearable robots Review

Roger BOSTELMAN, Elena MESSINA, Sebti FOUFOU

Frontiers of Information Technology & Electronic Engineering 2017, Volume 18, Issue 10,   Pages 1447-1457 doi: 10.1631/FITEE.1601316

Abstract: Manufacturing robotics is moving towards human-robot collaboration with light duty robots being used side by side with workers. Similarly, exoskeletons that are both passive (spring and counterbalance forces) and active (motor forces) are worn by humans and used to move body parts. Exoskeletons are also called ‘wearable robots’ when they are actively controlled using a computer and integrated sensing. Safety standards now allow, through risk assessment, both manufacturing and wearable robots to be used. However, performance standards for both systems are still lacking. Ongoing research to develop standard test methods to assess the performance of manufacturing robots and emergency response robots can inspire similar test methods for exoskeletons. This paper describes recent research on performance standards for manufacturing robots as well as search and rescue robots. It also discusses how the performance of wearable robots could benefit from using the same test methods.

Keywords： Wearable robot     Exoskeleton     Cross-industry     Artifact     Standards     Grasping    

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Finite-time formation control for first-order multi-agent systems with region constraints Research Articles

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Frontiers of Information Technology & Electronic Engineering 2021, Volume 22, Issue 1,   Pages 1-140 doi: 10.1631/FITEE.2000177

Abstract: In this study, the control of s with region constraints is studied. Multiple agents have first-order dynamics and a common target area. A novel control algorithm is proposed using local information and interaction. If the communication graph is undirected and connected and the desired framework is rigid, it is proved that the controller can be used to solve the formation problem with a target area. That is, all agents can enter the desired region in finite time while reaching and maintaining the desired formation shapes. Finally, a numerical example is given to illustrate the results.

Keywords： Finite-time formation     Multi-agent system     Asymptotic convergence     Set constraint     Lyapunov theorem    

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Control of Velocity-Constrained Stepper Motor-Driven Hilare Robot for Waypoint Navigation Article

Robins Mathew,Somashekhar S. Hiremath

Engineering 2018, Volume 4, Issue 4,   Pages 491-499 doi: 10.1016/j.eng.2018.07.013

Abstract:

Finding an optimal trajectory from an initial point to a final point through closely packed obstacles, and controlling a Hilare robot through this trajectory, are challenging tasks. To serve this purpose, path planners and trajectory-tracking controllers are usually included in a control loop. This paper highlights the implementation of a trajectory-tracking controller on a stepper motor-driven Hilare robot, with a trajectory that is described as a set of waypoints. The controller was designed to handle discrete waypoints with directional discontinuity and to consider different constraints on the actuator velocity. The control parameters were tuned with the help of multi-objective particle swarm optimization to minimize the average cross-track error and average linear velocity error of the mobile robot when tracking a predefined trajectory. Experiments were conducted to control the mobile robot from a start position to a destination position along a trajectory described by the waypoints. Experimental results for tracking the trajectory generated by a path planner and the trajectory specified by a user are also demonstrated. Experiments conducted on the mobile robot validate the effectiveness of the proposed strategy for tracking different types of trajectories.

Keywords： Trajectory tracking     Adaptive control     Waypoint navigation     Hilare robot     Particle swarm optimization     Probabilistic road map    

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Parameter value selection strategy for complete coverage path planning based on the Lü system to perform specific types of missions Research Article

Caihong LI, Cong LIU, Yong SONG, Zhenying LIANG

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 2,   Pages 231-244 doi: 10.1631/FITEE.2200211

Abstract: We propose a novel for the ; to construct a chaotic robot to accomplish the task. The algorithm can meet the requirements of high randomness and coverage rate to perform specific types of missions. First, we roughly determine the value range of the parameter of the ; to meet the requirement of being a dissipative . Second, we calculate the s to narrow the value range further. Next, we draw the phase planes of the to approximately judge the topological distribution characteristics of its trajectories. Furthermore, we calculate the of the variable for those good ones to judge its random characteristics. Finally, we construct a chaotic robot using variables with the determined parameter values and simulate and test the coverage rate to study the relationship between the coverage rate and the random characteristics of the variables. The above selection strategy gradually narrows the value range of the parameter according to the randomness requirement of the coverage trajectory. Using the proposed strategy, proper variables can be chosen with a larger to construct a chaotic robot with a higher coverage rate. Another chaotic , the Lorenz , is used to verify the feasibility and effectiveness of the designed strategy. The proposed strategy for enhancing the coverage rate of the mobile robot can improve the efficiency of accomplishing CCPP tasks under specific types of missions.

Keywords： Chaotic mobile robot     Lü     system     Complete coverage path planning (CCPP)     Parameter value selection strategy     Lyapunov exponent     Pearson correlation coefficient    

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Probabilistic movement primitive based motion learning for a lower limb exoskeleton with black-box optimization Research Article

Jiaqi WANG, Yongzhuo GAO, Dongmei WU, Wei DONG,wangjq@hit.edu.cn,gaoyongzhuo@hit.edu.cn,wdm@hit.edu.cn,dongwei@hit.edu.cn

Frontiers of Information Technology & Electronic Engineering 2023, Volume 24, Issue 1,   Pages 104-116 doi: 10.1631/FITEE.2200065

Abstract: As a wearable robot, an exoskeleton provides a direct transfer of mechanical power to assist or augment the wearer’s movement with an anthropomorphic configuration. When an exoskeleton is used to facilitate the wearer’s movement, a motion generation process often plays an important role in high-level control. One of the main challenges in this area is to generate in real time a reference trajectory that is parallel with human intention and can adapt to different situations. In this paper, we first describe a novel motion modeling method based on probabilistic (ProMP) for a , which is a new and powerful representative tool for generating motion trajectories. To adapt the trajectory to different situations when the exoskeleton is used by different wearers, we propose a novel scheme based on (BBO) PI combined with ProMP. The motion model is first learned by ProMP offline, which can generate reference trajectories for use by exoskeleton controllers online. PI is adopted to learn and update the model for online , which provides the capability of adaptation of the system and eliminates the effects of uncertainties. Simulations and experiments involving six subjects using the HEXO demonstrate the effectiveness of the proposed methods.

Keywords： Lower limb exoskeleton     Human-robot interaction     Motion learning     Trajectory generation     Movement primitive     Black-box optimization    

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Stabilization of switched linear systems under asynchronous switching subject to admissible edge-dependent average dwell time Research Article

Linlin HOU, Xuan MA, Haibin SUN,houtingting8706@126.com,maxuan24@163.com,fengyun198212@163.com

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 5,   Pages 810-822 doi: 10.1631/FITEE.2000698

Abstract: The problem of stabilizing switched linear systems under is addressed. The method is applied to design a switching signal that comprises slow and fast . Under this switching signal, the restriction that the maximum delay of is known in advance is removed. The constructed Lyapunov function is associated with both the system mode and controller mode. The stabilization criteria and the corresponding algorithm are presented to obtain the controller gains and to design the switching signal. Finally, two examples are given to demonstrate the effectiveness of the proposed results.

Keywords： Asynchronous switching     Admissible edge-dependent average dwell time     Multi-Lyapunov function    

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The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Strategic Study of CAE 2003, Volume 5, Issue 5,   Pages 70-75

Abstract:

An obstacle avoidance strategy for mobile robot is presented based on obstacle position and size information. Furthermore, rational robot paths in obstacle avoidance are discussed in detail, which leads to the final important result of optimal path for mobile robot to avoid an obstacle. Simple as the results are, they have been shown by simulations te be effective and convenient in implementation. A good application prospect of the result can thus be expected.

Keywords： mobile robot     ultrasonic sensor     obstacle avoidance     path planning     optimal path    

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Vibration-Driven Microrobot Positioning Methodologies for Nonholonomic Constraint Compensation Article

Kostas Vlachos, Dimitris Papadimitriou, Evangelos Papadopoulos

Engineering 2015, Volume 1, Issue 1,   Pages 66-72 doi: 10.15302/J-ENG-2015016

Abstract:

This paper presents the formulation and practical implementation of positioning methodologies that compensate for the nonholonomic constraints of a mobile microrobot that is driven by two vibrating direct current (DC) micromotors. The open-loop and closed-loop approaches described here add the capability for net sidewise displacements of the microrobotic platform. A displacement is achieved by the execution of a number of repeating steps that depend on the desired displacement, the speed of the micromotors, and the elapsed time. Simulation and experimental results verified the performance of the proposed methodologies.

Keywords： microrobotics     vibration micromotor     actuation nonholonomic planning     nonholonomic constraints compensation    

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The Control Strategy of SVG in Outer Loop Controller Based on Artificial Immunity Algorithm

Yang Jianning,Sun Yukun,Li Zicheng,Sun Yunyuan

Strategic Study of CAE 2007, Volume 9, Issue 10,   Pages 30-35

Abstract:

The control strategy of SVG controller in outer loop based on artificial immunity arithmetic was brought forward in this paper in control technique about voltage error—reactive power in static var generator's controller in allusion to complex control object of multi-dimensional and non-linear power system.  Bionically simulating the immune process of human body in which the immunity system can bring excellent antibody for biting evil invasive antigen and maintain normal function, the control strategy takes voltage fluctuate as equivalence antigen and produces antibody for voltage stabilization. Output reference value of reactive power instruction in inner loop is gained by identifying voltage change factor in power system which corresponds to antigen mater in immunity system and setting model with fuzzy scheme for cell activation process with Mamdani fuzzy reasoning and gravitational and center fuzzy measure.  The control scheme of simulation immune mechanism brought forward in the paper is proved effective on stability of power system through the outline parameter training of the SVG simulation controller on on power system of one generator with two close loop structur the fault influence analysis about short circuit in triphase symmetry power system and comparison with parameter change by PI control manner.

Keywords： power system     SVG     mimic humoral immune response model (MHIRM)     Lyapunov energy function    

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Development of a novel autonomous lower extremity exoskeleton robot forwalking assistance Special Feature on Intelligent Robats

Yong HE, Nan LI, Chao WANG, Lin-qing XIA, Xu YONG, Xin-yu WU

Frontiers of Information Technology & Electronic Engineering 2019, Volume 20, Issue 3,   Pages 318-329 doi: 10.1631/FITEE.1800561

Abstract:

Today, exoskeletons are widely applied to provide walking assistance for patients with lower limb motor incapacity. Most existing exoskeletons are under-actuated, resulting in a series of problems, e.g., interference and unnatural gait during walking. In this study, we propose a novel intelligent autonomous lower extremity exoskeleton (Auto-LEE), aiming at improving the user experience of wearable walking aids and extending their application range. Unlike traditional exoskeletons, Auto-LEE has 10 degrees of freedom, and all the joints are actuated independently by direct current motors, which allows the robot to maintain balance in aiding walking without extra support. The new exoskeleton is designed and developed with a modular structure concept and multi-modal human-robot interfaces are considered in the control system. To validate the ability of self-balancing bipedal walking, three general algorithms for generating walking patterns are researched, and a preliminary experiment is implemented.

Keywords： Lower-limb     Exoskeleton     Self-balancing     Bipedal walking     Modular design    

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Selective and Independent Control of Microrobots in a Magnetic Field: A Review Review

Min Wang, Tianyi Wu, Rui Liu, Zhuoran Zhang, Jun Liu

Engineering 2023, Volume 24, Issue 5,   Pages 21-38 doi: 10.1016/j.eng.2023.02.011

Abstract:

Due to the unique advantages of untethered connections and a high level of safety, magnetic actuation is a commonly used technique in microrobotics for propelling microswimmers, manipulating fluidics, and navigating medical devices. However, the microrobots or actuated targets are exposed to identical and homogeneous driving magnetic fields, which makes it challenging to selectively control a single robot or a specific group among multiple targets. This paper reviews recent advances in selective and independent control for multi-microrobot or multi-joint microrobot systems driven by magnetic fields. These selective and independent control approaches decode the global magnetic field into specific configurations for the individualized actuation of multiple microrobots. The methods include applying distinct properties for each microrobot or creating heterogeneous magnetic fields at different locations. Independent control of the selected targets enables the effective cooperation of multiple microrobots to accomplish more complicated operations. In this review, we provide a unique perspective to explain how to manipulate individual microrobots to achieve a high level of group intelligence on a small scale, which could help accelerate the translational development of microrobotic technology for real-life applications.

Keywords： Microrobot     Magnetic microrobot     Independent control     Selective control     Microrobotic manipulation    

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Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems unstable Research Articles

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Frontiers of Information Technology & Electronic Engineering 2020, Volume 21, Issue 2,   Pages 260-267 doi: 10.1631/FITEE.1900312

Abstract: We aim to further study the global stability of Boolean control networks (BCNs) under aperiodic sampleddata control (ASDC). According to our previous work, it is known that a BCN under ASDC can be transformed into a switched Boolean network (SBN), and further global stability of the BCN under ASDC can be obtained by studying the global stability of the transformed SBN. Unfortunately, since the major idea of our previous work is to use stable subsystems to offset the state divergence caused by unstable subsystems, the SBN considered has at least one stable subsystem. The central thought in this paper is that switching behavior also has good stabilization; i.e., the SBN can also be stable with appropriate switching laws designed, even if all subsystems are unstable. This is completely different from that in our previous work. Specifically, for this case, the dwell time (DT) should be limited within a pair of upper and lower bounds. By means of the discretized Lyapunov function and DT, a sufficient condition for global stability is obtained. Finally, the above results are demonstrated by a biological example.

Keywords： Aperiodic sampled-data control     Boolean control networks     Unstable subsystem     Discretized Lyapunov function     Dwell time    

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Title Author Date Type Operation

Fixed-time constrained acceleration reconstruction scheme for robotic exoskeleton via neural networks

Tao Xue, Zi-wei Wang, Tao Zhang, Ou Bai, Meng Zhang, Bin Han,taozhang@tsinghua.edu.cn

Journal Article

Adaptive tracking control for air-breathing hypersonic vehicles with state constraints

Gong-jun LI

Journal Article

Construction of a new Lyapunov function for a dissipative gyroscopic system using the residual energy function

Cem CİVELEK, Özge CİHANBEĞENDİ

Journal Article

Cross-industry standard test method developments: from manufacturing to wearable robots

Roger BOSTELMAN, Elena MESSINA, Sebti FOUFOU

Journal Article

Finite-time formation control for first-order multi-agent systems with region constraints

Zhengquan Yang, Xiaofang Pan, Qing Zhang, Zengqiang Chen,zquanyang@163.com,1219006322@qq.com,qz120168@hotmail.com,chenzq@nankai.edu.cn

Journal Article

Control of Velocity-Constrained Stepper Motor-Driven Hilare Robot for Waypoint Navigation

Robins Mathew,Somashekhar S. Hiremath

Journal Article

Parameter value selection strategy for complete coverage path planning based on the Lü system to perform specific types of missions

Caihong LI, Cong LIU, Yong SONG, Zhenying LIANG

Journal Article

Probabilistic movement primitive based motion learning for a lower limb exoskeleton with black-box optimization

Jiaqi WANG, Yongzhuo GAO, Dongmei WU, Wei DONG,wangjq@hit.edu.cn,gaoyongzhuo@hit.edu.cn,wdm@hit.edu.cn,dongwei@hit.edu.cn

Journal Article

Stabilization of switched linear systems under asynchronous switching subject to admissible edge-dependent average dwell time

Linlin HOU, Xuan MA, Haibin SUN,houtingting8706@126.com,maxuan24@163.com,fengyun198212@163.com

Journal Article

The Shortest Path for Mobile Robots in Obstacle Avoidance

Guo Ge

Journal Article

Vibration-Driven Microrobot Positioning Methodologies for Nonholonomic Constraint Compensation

Kostas Vlachos, Dimitris Papadimitriou, Evangelos Papadopoulos

Journal Article

The Control Strategy of SVG in Outer Loop Controller Based on Artificial Immunity Algorithm

Yang Jianning,Sun Yukun,Li Zicheng,Sun Yunyuan

Journal Article

Development of a novel autonomous lower extremity exoskeleton robot forwalking assistance

Yong HE, Nan LI, Chao WANG, Lin-qing XIA, Xu YONG, Xin-yu WU

Journal Article

Selective and Independent Control of Microrobots in a Magnetic Field: A Review

Min Wang, Tianyi Wu, Rui Liu, Zhuoran Zhang, Jun Liu

Journal Article

Switching-based stabilization of aperiodic sampled-data Boolean control networks with all subsystems unstable

Liang-jie SUN, Jian-quan LU, Wai-Ki CHING

Journal Article