Adaptive neural control of non‐linear fractional order multi‐agent systems in the presence of error constraints and input saturation

This paper presents a tracking control problem for fractional order multi-agent systems in the presence of uncertainties. The study takes into account problems error constraints, saturated inputs and transient response suitability. Because existing challenges, neural adaptive approach is used this study. Fractional are investigated with uncertainty constraints. A controller designed on basis dynamic surface control. As result, objective pursuing desired output achieved required effective performance proposed demonstrated by simulation using MATLAB software.