Design on Type-2 Fuzzy-Based Distributed Supervisory Control With Backlash-Like Hysteresis

Shen, Qikun; Shi, Yan; Jia, Renfu; Shi, Peng

doi:10.1109/tfuzz.2020.2992864

Cited by 72 publications

(26 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The path planning should be conducted by using the wellknown algorithms, then compare with the proposed optimal recursive algorithm in this study. Some other methodologies of the path tracking control can be studied and applied to the 3RRR robot such as a finitetime tracker for nonholonomic systems [31], fast terminal sliding mode tracking control [32], neural networks-based distributed adaptive control [33], or type-2 fuzzy-based distributed supervisory control [34].…”

Section: Future Improvementmentioning

confidence: 99%

Dynamic Filtered Path Tracking Control for a 3RRR Robot Using Optimal Recursive Path Planning and Vision-Based Pose Estimation

Huynh

Kuo

2020

IEEE Access

View full text Add to dashboard Cite

This study proposes a dynamic filtered path tracking control schema for a 3RRR planar parallel robot to reduce the positioning errors caused by various sources such as backlash in the mechanical system, system nonlinearities, uncertainties, and unknown disturbances. The optimal recursive algorithm is implemented absolutely in path planning based on the optimization problem. Compared to other methods, this algorithm not only helps the robot avoid singularities but also ensures the shortest movement distance of links thanks to the optimization in path planning. The vision system using the 3D Intel RealSense camera D435i is proposed to provide the visual measurement as feedback for the pose estimation of the 3RRR planar parallel robot. The unscented Kalman filter is designed to reduce the errors of the pose estimation due to the camera's intrinsic parameters, the vibration of the mechanical system, and unknown noises. The establishment of important equations and parameters of the unscented Kalman filter is detailed in this study. The simulation, experiment, and comparison are conducted to verify the effectiveness and feasibility of the proposed approaches. INDEX TERMS 3RRR planar parallel robot, dynamic filtered path tracking control, optimal recursive path planning, vision-based pose estimation, unscented Kalman filter.

show abstract

Section: Future Improvementmentioning

confidence: 99%

Dynamic Filtered Path Tracking Control for a 3RRR Robot Using Optimal Recursive Path Planning and Vision-Based Pose Estimation

Huynh

Kuo

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…By using the information, reasonable control measures and actions can be made and carried out such that the spread of disease is controlled. Recently, by using the advanced control technique [18][19][20][21][24][25][26][27][28][29], many researchers have proposed a lots of control strategies, foe instance, treatment strategies [3], vaccination strategies [4,6], feedback-control-based strategies [11], and so on. As stated previously, only special models (incomplete or imprecise models) were considered in the above works [3][4][5][6]11].…”

Section: Introductionmentioning

confidence: 99%

Dynamics Analysis and Vaccination-Based Sliding Mode Control of a More Generalized SEIR Epidemic Model

Jiao

Shen

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

In this paper, based on the latest discovery of epidemiology, a more general SEIR epidemic model is firstly proposed and its main properties such as positivity and boundedness have been analyzed and proven. Meanwhile, a method is proposed to solve basic reproduction number. In addition, a vaccinationbased sliding mode control strategy is designed to guarantee that the proportion of infected subpopulation in the total population converge to the desired signal. Finally, by using computer simulation, the positivity and boundedness of the epidemic model and some control strategies are verified and evaluated, respectively.

show abstract

“…In the marine field, AUVs need to achieve reasonable task assignments and resource assignments, such as the problem of measuring data from different sea areas and competing the water channel resources. From the theoretical perspective of the above situation, the coexistence of cooperative and competition interactions is originated in multi‐agent systems, which mainly lies in the aspects of consensus and bipartite consensus (see in [16–27]). By using the pinning control strategy, the authors in [22] presented a finite‐time bipartite consensus control scheme for multi‐agent systems under networks with a rooted spanning tree, which were more general than those with a strongly connected graph.…”

Section: Introductionmentioning

confidence: 99%

Event‐triggered adaptive fuzzy bipartite consensus control of multiple autonomous underwater vehicles

Tong

2020

IET Control Theory & Appl

View full text Add to dashboard Cite

This article studies the problem of event‐triggered distributed adaptive bipartite consensus control for multiple autonomous underwater vehicle (AUV) systems with a fixed topology. Different from the existing literature on multiple AUV systems, the competitive relationship among AUVs is taken into consideration. In this situation, the bipartite consensus control is implemented to complete the controller design. Furthermore, combing the relative threshold strategy and the backstepping method, an adaptive event‐triggered control scheme is developed to decrease the updating frequency of control input. Through the Lyapunov analysis, the proposed protocol ensures that the position tracking error of the considered system converges to a small neighbourhood near the origin. Finally, a simulation example is given to show the effectiveness of the control scheme.

show abstract

Design on Type-2 Fuzzy-Based Distributed Supervisory Control With Backlash-Like Hysteresis

Cited by 72 publications

References 34 publications

Dynamic Filtered Path Tracking Control for a 3RRR Robot Using Optimal Recursive Path Planning and Vision-Based Pose Estimation

Dynamic Filtered Path Tracking Control for a 3RRR Robot Using Optimal Recursive Path Planning and Vision-Based Pose Estimation

Dynamics Analysis and Vaccination-Based Sliding Mode Control of a More Generalized SEIR Epidemic Model

Event‐triggered adaptive fuzzy bipartite consensus control of multiple autonomous underwater vehicles

Contact Info

Product

Resources

About