Abstract
Recently, a discrete-time zeroing dynamics (DTZD) in scalar form has been established to solver time-varying nonlinear equations (TVNE). For completeness, the extension study of such scalar-form DTZD algorithm is presented in this paper. Specifically, by following the previous work, a new DTZD algorithm in vector form, which has a cube error mode, is developed in this paper for solving the system of TVNE. Then, numerical results are given to substantiate the efficacy of the new vector-form DTZD algorithm. Furthermore, the application of the new DTZD algorithm to redundant robot manipulator is provided, thereby showing the application potential of the presented algorithm.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Guo D, Huang Z, Lin X, Sun S (2017) A new DTZD algorithm with geometric representation and numerical verification for time-varying nonlinear equations solving. In: Proceedings of international conference on natural computation, fuzzy systems and knowledge discovery, pp 128–133
Guo D, Xu F, Li Z, Nie Z, Shao H (2018) Design, verification and application of new discrete-time recurrent neural network for dynamic nonlinear equations solving. IEEE Trans Ind Inf 14(9):3936–3945
Zhang Y, Yi C, Guo D, Zheng J (2011) Comparison on Zhang neural dynamics and gradient-based neural dynamics for online solution of nonlinear time-varying equation. Neural Comput Appl 20(1):1–7
Zhang Y, Li Z, Guo D, Ke Z, Chen P (2013) Discrete-time ZD, GD and NI for solving nonlinear time-varying equations. Numer Algorithms 64(4):721–740
Guo D, Nie Z, Yan L (2018) The application of noise-tolerant ZD design formula to robots’ kinematic control via time-varying nonlinear equations solving. IEEE Trans Syst Man Cybern: Syst 48(12):2188–2197
Zhang Y, Zhang Y, Chen D, Xiao Z, Yan X (2017) From Davidenko method to Zhang dynamics for nonlinear equation systems solving. IEEE Trans Syst Man Cybern: Syst 47(11):2817–2830
Zhang Y, Qiu H, Peng C, Shi Y, Tan H (2015) Simply and effectively proved square characteristics of discrete-time ZD solving systems of time-varying nonlinear equations. In: Proceedings of IEEE international conference on information and automation, pp 1457–1462
Guo D, Xu F, Yan L (2018) New pseudoinverse-based path planning scheme with PID characteristic for redundant robot manipulators in the presence of noise. IEEE Trans Control Syst Technol 26(6):2008–2019
Zhang Y, Shi Y, Xiao L, Mu B (2012) Convergence and stability results of Zhang neural network solving systems of time-varying nonlinear equations. In: Proceedings of international conference on natural computation, pp 150–154
Acknowledgment
This work is supported by the National Natural Science Foundation of China (with number 61603143), the Quanzhou City Science and Technology Program of China (with number 2018C111R), and also the National Innovation Training Program for University Students (with number 201810385017).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Huang, Z., Lin, X., Zhang, Y., Zhang, Z., Guo, D. (2020). Numerical Verification and Robotic Application of New DTZD Algorithm for Solving System of Time-Varying Nonlinear Equations. In: Deng, Z. (eds) Proceedings of 2019 Chinese Intelligent Automation Conference. CIAC 2019. Lecture Notes in Electrical Engineering, vol 586. Springer, Singapore. https://doi.org/10.1007/978-981-32-9050-1_64
Download citation
DOI: https://doi.org/10.1007/978-981-32-9050-1_64
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-32-9049-5
Online ISBN: 978-981-32-9050-1
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)