Abstract
In this study, a class of nonlinear systems with integral input to state stability (iISS) inverse dynamics and unknown control direction are examined for the issue of time-varying asymmetric output constraints of adaptive output feedback controller. To deal with unmeasured state variables and unknown directions, the state observer is constructed using a Rickati matrix differential equation with time variation. A backstepping-based method is recommended for establishing the dynamic output feedback control law. By ensuring boundedness for the time-dependent barrier Lyapunov function (BLF) in the closed loop, we may not only maintain the boundedness and stability of other signals, but also avoid breaking the time-varying asymmetric constraint of the output. Finally, simulation analyses are used to confirm the scheme’s efficacy.
Similar content being viewed by others
References
K. P. Tee, B. Ren, and S. S. Ge, “Control of nonlinear systems with time-varying output constraints,” Autometica, vol. 47, no. 11, pp. 2511–2516, 2011.
K. D. Do, “Control of nonlinear systems with output tracking error constraints and its application to magnetic bearings,” International Journal of Control, vol. 83, no. 6, pp. 1199–1216, 2010.
M. Krstic and M. Bement, “Nonovershooting control of strict-feedback nonlinear systems,” IEEE Transactions on Automatic Control, vol. 51, no. 12, pp. 1938–1943, 2006.
E. D. Sontag, “Smooth stabilization implies coprime factorization,” IEEE transactions on automatic control, vol. 34, no. 4, pp. 435–443, 1989.
E. D. Sontag, “Comments on integral variants of ISS,” Systems and Control Letters, vol. 34, no. 1–2, pp. 93–100, 1998.
D. Angeli, E. D. Sontag, and Y. Wang, “A characterization of integral input-to-state stability,” IEEE Transactions on Automatic Control, vol. 45, no. 6, pp. 1082–1097, 2000.
E. Panteley and A. Loría, “Growth rate conditions for uniform asymptotic stability of cascaded time-varying systems,” Automatica, vol. 37, no. 3, pp. 453–460, 2001.
H. Itô, “A Lyapunov approach to cascade interconnection of integral input-to-state stable systems,” IEEE Transactions on Automatic Control, vol. 55, no. 3, pp. 702–708, 2010.
H. Itô, “A Lyapunov approach to integral input-to-state stability of cascaded systems with external signals,” Proc. of 47th IEEE Conference on Decision and Control pp. 628–633, December 2008.
M. Arcak, D. Angeli, and E. Sontag, “A unifying integral ISS framework for stability of nonlinear cascades,” SIAM Journal on Control and Optimization, vol. 40, no. 6, pp. 1888–1904, 2002.
Z. P. Jiang, I. Mareels, D. J. Hill, and J. Huang, “A unifying framework for global regulation via nonlinear output feedback: From ISS to iISS,” IEEE Transactions on Automatic Control, vol. 4, no. 4, pp. 549–562, 2004.
Y. Q. Wu, J. B. Yu, and Y. Zhao, “Further results on global asymptotic regulation control for a class of nonlinear systems with iISS inverse dynamics,” IEEE Transactions on Automatic Control, vol. 56, no. 4, pp. 941–946, 2011.
Y. Q. Wu, J. B. Yu, and Y. Zhao, “Output feedback regulation control for a class of cascade nonlinear systems and its application to fan speed control,” Nonlinear Analysis: Real World Applications, vol. 13, no. 3, pp. 1278–1291, 2012.
X. Yu, Y. Q. Wu, and X. J. Xie, “Reduced-order observer-based output feedback regulation for a class of nonlinear systems with iISS inverse dynamics,” International Journal of Control, vol. 85, no. 12, pp. 1942–1951, 2012.
P. Wang, C. Yu, and J. Sun, “Global output feedback control for nonlinear cascade systems with unknown output functions and unknown control directions,” International Journal of Robust and Nonlinear Control, vol. 30, no. 6, pp. 2493–2514, 2020.
T. Wei, X. Li, and V. Stojanovic, “Input-to-state stability of impulsive reaction-diffusion neural networks with infinite distributed delays,” Nonlinear Dynamics, vol. 103, no. 2, pp. 1733–1755, 2021.
K. He, C. Dong, and Q. Wang, “Cascade integral predictors and feedback control for nonlinear systems with unknown time-varying input-delays,” International Journal of Control, Automation, and Systems, vol. 18, no. 5, 1128–1138, 2020.
M. Burger and M. Guay, “Robust constraint satisfaction for continuous-time nonlinear systems in strict feedback form,” IEEE Transactions on Automatic Control, vol. 55, no. 11, pp. 2597–2601, 2010.
D. Q. Mayne, J. B. Rawlings, C. V. Rao, and P. O. Scokaert, “Constrained model predictive control: Stability and optimality,” Automatica, vol. 36, no. 6, pp. 789–814, 2000.
F. Gao, Y. Wu, H. Li, and Y. Liu, “Finite-time stabilisation for a class of output-constrained nonholonomic systems with its application,” International Journal of Systems Science, vol. 49, no. 10, pp. 2155–2169, 2018.
Y. Cao, Y. Song, and C. Wen, “Practical tracking control of perturbed uncertain nonaffine systems with full state constraints,” Automatica, vol. 110, 108608, 2019.
Y. J. Liu and S. Tong, “Barrier Lyapunov functions-based adaptive control for a class of nonlinear pure-feedback systems with full state constraints,” Automatica, vol. 64, pp. 70–75, 2016.
C. Wang, Y. Wu, and J. Yu, “Barrier Lyapunov functions-based adaptive control for nonlinear pure-feedback systems with time-varying full state constraints,” International Journal of Control, Automation, and Systems, vol. 15, no. 6, pp. 2714–2722, 2017.
K. P. Tee, S. S. Ge, and E. H. Tay, “Barrier Lyapunov functions for the control of output-constrained nonlinear systems,” Automatica, vol. 45, no. 4, pp. 918–927, 2009.
R. Q. Fuentes-Aguilar and I. Chairez, “Adaptive tracking control of state constraint systems based on differential neural networks: A barrier Lyapunov function approach,” IEEE transactions on neural networks and learning systems, vol. 31, no. 12, pp. 5390–5401, 2020.
J. Zhang, J. Yang, Z. Zhang, and Y. Wu, “Output feedback control of nonlinear cascaded systems with external disturbance and asymmetric constraints,” Nonlinear Dynamics, vol. 108, pp. 3727–3743, 2022.
L. Chang and Y. Jia, “Adaptive control of a hose and drogue system with input nonlinearities and partial state constraints,” International Journal of Control, Automation, and Systems, vol. 17, no. 10, pp. 2508–2520, 2019.
C. Wang and Y. Wu, “Finite-time tracking control for strict-feedback nonlinear systems with full state constraints,” International Journal of Control, vol. 92, no. 6, pp. 1426–1433, 2019.
F. Gao, Y. Wu, J. Huang, and Y. Liu, “Output feedback stabilization within prescribed finite time of asymmetric time-varying constrained nonholonomic systems,” International Journal of Robust and Nonlinear Control, vol. 31, no. 2, pp. 427–446, 2021.
J. Cheng, J. H. Park, and Z. G. Wu, “Observer-based asynchronous control of nonlinear systems with dynamic event-based try-once-discard protocol,” IEEE Transactions on Cybernetics, vol. 52, no. 12, pp. 12638–12648, 2022.
J. Cheng, H. Yan, J. H. Park, and G. Zong, “Outputfeedback control for fuzzy singularly perturbed systems: A nonhomogeneous stochastic communication protocol approach,” IEEE Transactions on Cybernetics, vol. 53, no. 1, pp. 76–87, 2023.
J. Cheng, Y. Shan, J. Cao, and J. H. Park, “Nonstationary control for T-S fuzzy Markovian switching systems with variable quantization density,” IEEE Transactions on Fuzzy Systems, vol. 29, no. 6, pp. 1375–1385, 2020.
J. Yang, J. Zhang, Z. Zhang, and Y. Wu, “Output feedback regulation for a class of output-constrained nonlinear systems with iISS inverse dynamics,” IET Control Theory & Applications, vol. 16, no. 10, pp. 985–994, 2022.
F. Gao, Y. Wu, H. Li, and Y. Liu, “Finite-time stabilisation for a class of output-constrained nonholonomic systems with its application,” International Journal of Systems Science, vol. 49, no. 10, pp. 2155–2169, 2018
R. D. Nussbaum, “Some remarks on a conjecture in parameter adaptive control,” Systems and Control Letters, vol. 3, no. 5, pp. 243–246, 1983.
Y. Li, S. Tong, and T. Li, “Observer-based adaptive fuzzy tracking control of MIMO stochastic nonlinear systems with unknown control directions and unknown dead zones,” IEEE Transactions on Fuzzy Systems, vol. 23, no. 4, pp. 1228–1241, 2014.
D. Zhang, C. Deng, and G. Feng, “Resilient cooperative output regulation for nonlinear multi-agent systems under DoS attacks,” IEEE Transactions on Automatic Control, vol. 68, no. 4, pp. 2521–2538, 2023.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
The authors declare that there is no competing financial interest or personal relationship that could have appeared to influence the work reported in this paper.
Additional information
Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Jing Yang received her B.S. degree in electrical engineering and automation, in 2020, from Qufu Normal University, Rizhao, China, where she is currently pursuing a Ph.D. degree with the School of Engineering. Her research interests include nonholonomic system control and nonlinear system control.
Jie Zhang received her M.S. degree in operations research and cybernetics from Qufu Normal University, Rizhao, China, in 2023, and currently pursuing a Ph.D. degree in control science and engineering from Northeastern University. Her research interests include nonlinear system control, digital twins, and optimization compensation method.
Zhongcai Zhang received his M.S. degree in operations research and cybernetics from Qufu Normal University, Qufu, China, in 2013, and a Ph.D. degree in control science and engineering from Southeast University, Nanjing, China, in 2016. He is currently an Associate Professor with the School of Engineering, Qufu Normal University, Rizhao, China. His current research interests include nonlinear system control, nonholonomic system control, underactuated system control, adaptive theory, and robot applications.
Yuqiang Wu received his M.S. degree in automatic engineering from Qufu Normal University, Qufu, China, in 1988, and a Ph.D. degree in control science and engineering from Southeast University, Nanjing, China, in 1994. He is currently a Professor with the School of Engineering, Qufu Normal University, Rizhao, China. His current research interests include variable structure control, switching control, nonlinear system control, stochastic systems, and process control.
Rights and permissions
About this article
Cite this article
Yang, J., Zhang, J., Zhang, Z. et al. Barrier Lyapunov Functions-based Output Feedback Control for a Class of Nonlinear Cascade Systems With Time-varying Output Constraints. Int. J. Control Autom. Syst. 22, 517–526 (2024). https://doi.org/10.1007/s12555-022-0955-1
Received:
Revised:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12555-022-0955-1