0573491 20240903170654.420230711235959.9 85165328854 001039582300002 10.14736/kyb-2023-3-0342 23 s. P cav_un_epca*02971630023-5954593 (2023)342-364Ústav teorie informace a automatizace AV ČR, v. v. i. Fixed-time safe control Nonlinear pure-feedback systems State constrains State constrains Dynamic surface control Unified transformation function cav_un_auth*0452080 Guo Ch. CN cav_un_auth*0392198 Hu J. CN cav_un_auth*0372740 Hao J. CN cav_un_auth*0101074 Čelikovský Sergej UTIA-B Teorie řízení Department of Control Theory TŘ TR Department of Control Theory Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0388235 Hu X. CN K 701,32 KB http://library.utia.cas.cz/separaty/2023/TR/celikovsky-0573491.pdf https://www.kybernetika.cz/content/2023/3/342 GA21-03689S GA ČR CZ cav_un_auth*0410139 In this paper, a fixed-time safe control problem is investigated for an uncertain high-order nonlinear pure-feedback system with state constraints. A new nonlinear transformation function is firstly proposed to handle both the constrained and unconstrained cases in a unified way. Further, a radial basis function neural network is constructed to approximate the unknown dynamics in the system and a fixed-time dynamic surface control (FDSC) technique is developed to facilitate the fixed-time control design for the uncertain high-order pure-feedback system. Combined with the proposed unified transformation function and the FDSC technique, an adaptive fixed-time control strategy is proposed to guarantee the fixed-time tracking. The novel original results of the paper allow to design the independent unified flexible fixed-time control strategy taking into account the actual possible constraints, either present or missing. Numerical examples are presented to demonstrate the proposed fixed-time tracking control strategy. WOS BC 20000 20200 20205 2024 5 RVO:67985556 https://hdl.handle.net/11104/0344017 cav_un_auth*0452082 School of Automation Engineering, University of Electronic Science and Technology of China CN cav_un_auth*0452083 Optimization and Systems Theory, Royal Institute of Technology, Stockholm SE S 1* Article Computer Science Cybernetics A COMPUTERSCIENCE.CYBERNETICS 0.7 0.7 17.1 0.00045 0.192 999 43 0.275 30.7 0.83 128 Q3 0.700 43 Q4 20.3 Q4 Q4 0.11 Q4 20.3 2023 85165328854 SCOPUS PUBMED 001039582300002 WOS 701,32 KB cav_un_epca*0297163 Kybernetika 0023-5954 Roč. 59 č. 3 2023 342 364 Ústav teorie informace a automatizace AV ČR, v. v. i.