Turbulent boundary layer (TBL) noise is considered a primary factor in the interior noise experienced by passengers aboard commercial airliners. There have been numerous investigations of interior noise control devoted to aircraft panels; however, practical realization is a challenge since the physical boundary conditions are uncertain at best. In most prior studies, pinned or clamped boundary ...

This paper features the modeling and design of a Robust Decentralized Fast Output Sampling (RDFOS) Feedback control technique for the active vibration control of a smart flexible multimodel Euler-Bernoulli cantilever beams for a multivariable (MIMO) case by retaining the first 6 vibratory modes. The beam structure is modeled in state space form using the concept of piezoelectric theory, the Eul...

In the Web of Things (WoT), special communication networks composed of sensor nodes, actuator nodes and service nodes form the basis for new types of web application systems, which are directly connected to the real world via sensors and actuators. We propose a conceptual framework for simulating WoT systems as multi-agent systems where both sensor nodes, actuator nodes and service nodes, as we...

We study the coordination and control problem of distributed discrete-event systems with synchronous communication, in the presence of subsystems whose sensors and/or actuators may be affected by unexpected failures. We model sensor failures as permanent loss of observability of certain sensor events that belong to a subsystem, while characterize actuator failures as loss of controllability of ...

This paper investigates the control problem of distributed parameter systems (DPS) with time-varying delay by employing mobile actuator-sensor networks. It is assumed that each agent in the networks has a sensor device which can measure spatial state, and an actuator device that can dispense control signals to spatially distributed process and can communicate with its neighbors. To better contr...

In this paper, we concentrate on component adaptation in sensor-actuator networks. Component adaptation is the process of dynamically replacing components in an application in response to changes in the environment conditions. Since the normal operation of a sensor-actuator network is often hindered by faults (e.g., node failures, message losses, synchronization errors), it is important that th...

Controllers capable to perform failure diagnosis have an additional diagnostic output to detect and isolate sensor and actuator faults. A linear such controller is usually called a four-parameter controller. Neural networks have proved to be a very powerful tool in the control systems area, where they have been used in the modelling and control of dynamical systems. In this paper, a neural netw...

This paper presents the design study of a lightweight inertial actuator, with integrated velocity sensor, for the implementation of velocity feedback control, i.e. active damping, in lightly-damped panels. The arrangement provides a collocated force actuator and velocity sensor device so that, in principle, an unconditionally stable direct velocity feedback loop could be implemented. However, t...