In this paper, a novel finite-time distributed identification method is introduced for nonlinear
interconnected systems. A distributed concurrent learning-based discontinuous gradient …

This article studies a preassigned time adaptive tracking control problem for stochastic
multiagent systems (MASs) with deferred full state constraints and deferred prescribed …

We propose a fixed-time stable parameter adaptation law that guarantees that an additive,
parameter-affine disturbance appearing in the dynamics of a class of nonlinear, control …

This paper studies deterministic and stochastic fixed-time stability of autonomous nonlinear
discrete-time (DT) systems. Lyapunov conditions are first presented under which the fixed …

This paper proposes a novel two-stage predefined-time system identification algorithm for
uncertain nonlinear systems based on concurrent learning. The main feature of the …

A practical fixed‐time composite learning control scheme, by combining dynamic regressor
extension and mixing (DREM) parameter identification algorithm and adaptive dynamic …

This paper studies the stability and convergence properties of a class of multi-agent
concurrent learning (CL) algorithms with momentum and restart. Such algorithms can be …

Identifying a high-fidelity model of nonlinear dynamic systems is a prerequisite for achieving
desired specifications in any model-based control design technique. This is because, most …