Event-triggered control is a method that the input updated only when certain condition satisfied (i.e., an event occurs). In this paper, event-triggered over sensor network studied based on notion of uniformly ultimate boundedness. Since sensors are located in distributed way, we consider multiple event-triggering conditions. boundedness, it guaranteed if state reaches set containing origin, st...

A hybrid series-parallel microgrid structure and its distributed decentralized cooperative control strategy are introduced in this paper. In the microgrids, generators (DGs) concatenated parallel to form a paralleled-connected generation (PCG) module. Further, microgrids consist of multiple PCG modules series. For considered is proposed. DGs same module, low-bandwidth communications applied obt...

Supervisory control themy is the study of discrete-event processes, such as computer systems and manufacturing systems, which require control to induce desirable behavior. Informally, a dimte-event system is a process (or set of processes) that s u n s out in some initial state and is transformed from state to state by the occurrence of discrete events. Such a system can be thought of as a set ...

We propose algorithms for the synthesis of decentralized statefeedback controllers with partial observation of infinite state systems, which are modeled by Symbolic Transition Systems. We first consider the computation of safe controllers ensuring the avoidance of a set of forbidden states and then extend this result to the deadlock free case. The termination of the algorithms solving these pro...

The problem of stabilization of linear time-invariant systems under general decentralized feedback schemes is considered in this paper. A novel approach to the problem is advised, in which the interactions between the strongly connected subsystems of a system are treated as disturbances. A necessary and su cient condition for the existence of a decentralized controller which stabilizes a given ...

Data usage control provides mechanisms for data owners to remain in control over how their data is used after it has been shared. Many data usage policies can only be enforced on a global scale, as they refer to data usage events happening within multiple distributed systems: ‘not more than three employees may ever read this document’, or ‘no copy of this document may be modified after it has b...

In this paper we consider the problem of computing decentralized control policies for stochastic systems with finite state and action spaces. Synthesis of optimal decentralized policies for such problems is known to be NP-hard [15]. Here we focus on methods for efficiently computing meaningful suboptimal decentralized control policies. The algorithms we present here are based on approximation o...