This paper presents an optimization-based perspective for incorporating disturbance
decoupling constraints into controller synthesis, which paves the way for utilizing numerical …

The rise of reinforcement learning (RL) has guided a new paradigm: unraveling the
intervention strategies to control systems with unknown dynamics. Model-free RL provides …

The coordinate transformation technique is a traditional method for solving the disturbance
decoupling problem (DDP) of Boolean control networks (BCNs). But under this technique …

Observability is a fundamental property of a partially observed dynamical system, which
means whether one can use an input sequence and the corresponding output sequence to …

A probabilistic Boolean network (PBN) is a collection of Boolean networks endowed with a
probability structure describing the likelihood with which a constituent network is active at …

Networked evolutionary game theory is an important tool to study the emergence and
maintenance of cooperation in natural, social, and economical systems. In this paper, we …

As an important branch of fuzzy systems, a hierarchical fuzzy system (HFS) has a wide
range of applications in system science, medical science, and engineering. Using the …

There are two different definitions of input–output decoupling of Boolean control networks
(BCNs), one of which depends on system decomposition and the other does not. In this …

This article develops a new edge removal mechanism for the global stabilizability of
Boolean networks (BNs). In order to achieve the edge removal control, several control …

Disturbances are ubiquitous and affect the normal operation of systems. This paper
investigates the disturbance decoupling problem of Boolean networks (BNs) and Boolean …