Robust exponential concurrent learning adaptive control for systems preceded by dead-zone input nonlinearity

[1] A.D. Ames, J.W. Grizzle, P. Tabuada, Control barrier function based quadratic programs with
application to adaptive cruise control, 53rd IEEE Conference on Decision and Control, IEEE, Dec
2014.
[2] H. Aminikhah, A. Jamalian, A new algorithm for computing eigenpairs of matrices, Math. Comput.
Model. 54 (2011) 119–130.
[3] V. Azimi, S. Hutchinson, Exponential control Lyapunov-barrier function using a filtering-based
concurrent learning adaptive approach, EEE Trans. Autom. Control. 67 (2022) 5376–5383.
[4] V. Azimi, P. Vela, Performance reference adaptive control: A joint quadratic programming and
adaptive control framework, 2018 Annual American Control Conference (ACC), IEEE, Jun 2018.
[5] V. Azimi, P. Vela, Robust adaptive quadratic programming and safety performance of nonlinear
systems with unstructured uncertainties, 2018 IEEE Conference on Decision and Control (CDC),
IEEE, Dec 2018.
[6] G. Chowdhary, E. Johnson, Concurrent learning for convergence in adaptive control without per-
sistency of excitation, 49th IEEE Conference on Decision and Control (CDC), IEEE, Dec 2010.
[7] G. Chowdhary, E. Johnson, A singular value maximizing data recording algorithm for concurrent
learning, Proceedings of the 2011 American Control Conference, IEEE, Jun 2011.
[8] G. Chowdhary, M. Muhlegg, E. Johnson, Exponential parameter and tracking error convergence
guarantees for adaptive controllers without persistency of excitation, Int. J. Control 87 (2014)
1583–1603.
[9] X. Fang, H. Fan, W. Wang, L.L., B. Wang, Z. Cheng, Adaptive finite-time fault-tolerant control of
uncertain systems with input saturation, IEEE Trans. Syst. Man Cybern. Syst. 53 (2023) 165–177.
[10] R.A. Freeman, P. Kokotovic, Robust Nonlinear Control Design, Birkh¨auser Boston, 1996.
[11] S.S. Ge, C. Hang, T. Zhang, Nonlinear adaptive control using neural networks and its application
to CSTR systems, J. Process Control 9 (1999) 313–323.
[12] X. Guo, H. Yao, F. Gao, Global prescribed-time stabilization of high-order nonlinear systems with
asymmetric actuator dead-zone, Mathematics 10 (2022) 2147.
[13] P.A. Ioannou, J. Sun, Robust adaptive control, PTR Prentice-Hall Upper Saddle River, NJ, 1996.
[14] A. Jamalian, H. Aminikhah, A novel algorithm for computing interior eigenpairs of large non-symmetric matrices, Soft Comput. 25 (2021) 11865–11876.
[15] J. Kennedy, R. Eberhart, Particle swarm optimization, IEEE, In Proceedings of ICNN’95-
International Conference on Neural Networks 4 (1995) 1942-1948.
[16] H.K. Khalil, Nonlinear Control, Pearson Education, 2013.

[17] T.Y. Lee, C.L. Chen, Unit commitment with probabilistic reserve: An IPSO approach, Energy Conv.
Manag.48 (2007) 486–493.
[18] M. Liu, B. Sang, N. Wang, I. Ahmad, Chaotic dynamics by some quadratic jerk systems, Axioms
10 (2021) 227.
[19] X. Luo, D. Mu, Z. Wang, P. Ning, C. Hua, Adaptive full-state constrained tracking control for
mobile robotic system with unknown dead-zone input, Neurocomputing 524 (2023) 31–42.
[20] S.A. Malek, M. Shahrokhi, E. Vafa, A. Moradvandi, Adaptive prescribed performance control of
switched MIMO uncertain nonlinear systems subject to unmodeled dynamics and input nonlinear-
ities, Int. J. Robust Nonlinear Control.28 (2018) 5981–5996.
[21] B. Mohammadi-ivatloo, A. Rabiee, M. Ehsan, Time-varying acceleration coefficients IPSO for
solving dynamic economic dispatch with non-smooth cost function, Energy Convers. Manag.56
(2012) 175–183.
[22] T.M. Shami, A.A. El-Saleh, M. Alswaitti, Q. Al-Tashi, M.A. Summakieh, S. Mirjalili, Particle
swarm optimization: A comprehensive survey, IEEE Access 10 (2022) 10031–10061.
[23] W. Shi, R. Luo, B. Li, Adaptive fuzzy prescribed performance control for MIMO nonlinear systems
with unknown control direction and unknown dead-zone inputs, ISA Transactions 66 (2017) 86–95.
[24] J.J.E. Slotine, J.A. Coestee, Adaptive sliding controller synthesis for non-linear systems, Int. J.
Control 43 (1986) 1631–1651.
[25] J.J.E. Slotine, W. Li, Composite adaptive control of robot manipulators, Automatica 25 (1989)
509–519.
[26] X. Xu, P. Tabuada, J. Grizzle, A. Ames, Robustness of control barrier functions for safety critical
control, IFAC-PapersOnLine 48 (2015) 54–61.
[27] P. Zhao, Y. Mao, C. Tao, N. Hovakimyan, X. Wang, Adaptive robust quadratic programs using
control Lyapunov and barrier functions, 59th IEEE Conference on Decision and Control (CDC),
Dec 2020.