Sentence examples for performance of nonlinear systems from inspiring English sources

To improve the overall control performance of nonlinear systems, an optimal control method, based on the framework of hybrid systems, is proposed.

In other words, the performance of nonlinear systems with memory may also depend on parameters of the input signal, such as its level or its past extrema, as for the hysteretic systems [12].

However, how to identify the optimal active state subspace of each linear subsystem is an open problem due to that the closed-loop performance of nonlinear systems interacts with these subspaces ranges.

A novel two-layer economic model predictive control (EMPC) structure that addresses provable finite-time and infinite-time closed-loop economic performance of nonlinear systems in closed-loop with EMPC is presented.

In this paper, a new systematic method of integrated state space partition and optimal control of multi-model for nonlinear systems based on hybrid systems is initially proposed, which can deal with the state space partition and associated optimal control simultaneously and guarantee an overall performance of nonlinear systems consequently.

In this paper, a solution for improvement of transient performance in adaptive control of nonlinear systems is proposed.

The main objective in this paper is to investigate the robust performance degradation for a class of nonlinear systems due to some dynamics that are not taken into account during the controller design stage.

This paper investigates the sampled-data adaptive control problem for a class of nonlinear systems with prescribed performance.

In this paper, the recently proposed neural network adaptive robust control (NNARC) design is generalized to synthesize performance oriented control laws for a class of nonlinear systems transformable to the semi-strict feedback forms through the incorporation of backstepping design techniques.

This work presents algorithms for improved fixed-time performance of Lyapunov-based economic model predictive control (LEMPC) of nonlinear systems.

The mathematics of nonlinear systems was developed as a branch of communication theory, but many of the results can be used to describe nonlinear optical systems.