Enhancing the settling time estimation of a class of fixed-time stable systems
This work addresses convergence time analysis for control systems, offering incremental improvements in settling time estimation for specific fixed-time stable systems.
The paper tackled the problem of estimating convergence times for fixed-time stable systems by providing a new non-conservative upper bound for settling time, resulting in a predefined-time convergent algorithm with improved performance compared to existing methods, as shown in simulations.
This paper deals with the convergence time analysis of a class of fixed-time stable systems with the aim to provide a new non-conservative upper bound for its settling time. Our contribution is fourfold. First, we revisit the well-known class of fixed-time stable systems, given in (Polyakov et al.,2012}, while showing the conservatism of the classical upper estimate of the settling time. Second, we provide the smallest constant that uniformly upper bounds the settling time of any trajectory of the system under consideration. Third, introducing a slight modification of the previous class of fixed-time systems, we propose a new predefined-time convergent algorithm where the least upper bound of the settling time is set a priori as a parameter of the system. At last, predefined-time controllers for first order and second order systems are introduced. Some simulation results highlight the performance of the proposed scheme in terms of settling time estimation compared to existing methods.