Biological systems exhibit an amazing array of distributed sensor/actuator systems, and the exploitation of principles and practices found in nature will lead to more effective artificial systems. The retina is an example of a highly tuned sensing organ, and the human skin is comprised of a set of heterogeneous sensor and actuator elements. Moreover, the specific organization and architecture o...

In a ubiquitous computing environment of sensor networks, monitoring the frequent contexts of a user occurred by those sensors is very important to provide a proactive service to the user. Such frequent contexts of the sensors can be recognized by associations between the set of sensor values and a set of actuator operations. This paper proposes a method of generating a new type of an associati...

With advances in sensor technology and availability of low cost integrated circuits, a wireless monitoring sensor network has been considered to be the new generation technology for structural health monitoring. Wireless Intelligent Sensor and Actuator Network (WISAN) has hence been developed as a vibration based structural monitoring network that allows extraction of mode shapes from output-on...

In this paper, we study networked systems in the presence of Denial-of-Service (DoS) attacks, namely attacks that prevent transmissions over the communication network. Previous studies have shown that co-located architectures (control unit co-located with the actuators and networked sensor channel) can ensure a high level of robustness against DoS. However, co-location requires a wired or dedic...

The paper presents preliminary numerical and experimental studies of active textile-reinforced thermoplastic composites with embedded sensor-actuator arrays. The goal of the investigations was the assessment of directional sound wave generation capability using embedded sensor-actuator arrays and developed a wave excitation procedure for ultrasound measurement tasks. The feasibility of the prop...

A recently presented method for actuator and sensor selection for linear control systems is applied and evaluated for an active vehicle suspension control problem. The aim is to eliminate the actuator/sensor combinations for which no controller exists that achieves a speci® ed level of robust performance. Complete controller synthesis is avoided by using necessary conditions for robust performa...

A novel model-based algorithm for fault detection (FD) in stochastic non-linear systems is proposed. The Nonlinear Minimum Variance (NMV) estimation technique is used to generate a residual signal which is then used to detect actuator and sensor faults in the system. The main advantage of the approach is the simplicity of the nonlinear estimator theory and the straightforward structure of the r...

The problem of changes detection in dynamical properties of signals and systems appears in many problems of signal processing, navigation and control (Basseville & Benveniste, 1986; Benveniste et al., 1987; Gadzhiev, 1992; Chen & Patton, 1999; Chan et al., 1999; Hajiyev & Caliskan, 2003; Vaswani, 2004; Tykierko, 2008; Li & Jaimoukha, 2009). Abnormal measurements, sudden shifts appearing in the ...

The design of intelligent autonomous systems able to sense, react and control the environment or complex processes has been a long term research desideratum. By integrating the concepts of mobile multi-robot systems and wireless sensor and actuator networks into a single framework, a powerful technology can be obtained, promising to serve as a backbone for complex distributed and mobile control...

A distributed and scalable architecture for the control of an autonomous robot is presented in this work. In our proposal a whole robotic agent is divided into sub-agents. Every sub-agent is coded into a very simple neural network, and controls one sensor/actuator element of the robot. Sub-agents learn by evolution how to handle their sensor/actuator and how to cooperate with the rest of sub-ag...