Schooling for multi-agent systems via impulsive containment control algorithms with quantized information

Abstract

In the paper, schooling problems based on containment control in multi-agent systems that have static or dynamic leaders under directed and undirected communication topologies are investigated. We propose a periodic impulsive containment control algorithm to realize schooling in multi-agent systems. Both ideal and quantized relative state measurements are considered under this framework. Some necessary and sufficient conditions, which depend on the eigenvalues of the Laplacian matrix that is associated with the communication graph, the impulsive period as well as the gain parameters, are obtained to realize the containment control of schooling. Finally, some numerical simulations are illustrated to verify the theoretical results.

Corporate employee performance mechanism based on incomplete information contest theory

“…The competition among enterprises is getting more and more intense, how to be invincible in the fierce competition, scientific and effective staff management has become an important asset for every enterprise to reduce labor costs and obtain talent advantages, and the performance appraisal system, as the core of enterprise staff management, plays a vital role in optimizing enterprise management. Performance appraisal is an important activity of enterprise staff management and is the process of comprehensive evaluation and assessment of enterprise staff's work behavior performance and work results in the workplace without performance appraisal there is no scientific and effective enterprise staff management system [19][20][21]. The goal of performance appraisal is to establish an open, fair, and equitable compensation system with internal motivation and external competition for the enterprise, and specifically to achieve the following four requirements [22].…”

Iterative learning control for multi-agent systems with impulsive consensus tracking

“…In this regard, Cui conducted related research in [6]. However, very few existing papers considered the consensus problem of MASs with impulse, for examples, [8,14,16,21,32,35,36,38], in the conventional consensus framework. In addition, impulsive control approach is advantageous in simplicity and flexibility for such kind of systems because the standard continuous state information is not required.…”