The linearised complex Ginzburg–Landau equation is a model for the evolution of small fluid perturbations, such as in a bluff body wake. By implementing actuators and sensors and designing an H2 optimal controller, we control a supercritical, infinite-domain formulation of this system. We seek the optimal actuator and sensor placement that minimises the H2 norm of the controlled system, from fl...

This paper deals with the problem of reliable guaranteed cost control for linear descriptor time-delay systems with actuator failure. The actuator failure mold adopted in this paper is in complete form to describe variation of the actuator. To design a controller such that, for admissible actuator failures, the plant remains asymptotically stable and guarantees an adequate level of a quadratic ...

This paper develops a multisensor data fusion-based deep learning algorithm to locate and classify faults in leader-following multiagent system. First, sequences of one-dimensional collected from multiple sensors followers are fused into two-dimensional image. Then, the image is employed train convolution neural network with batch normalisation layer. The trained can three typical fault types: ...

Thanks to their large power densities, low costs and shock-insensitivity, Dielectric Elastomers (DE) seem to be a promising technology for the implementation of light and compact force-feedback devices such as, for instance, haptic interfaces. Nonetheless, the development of these kinds of DE-based systems is not trivial owing to the relevant dissipative phenomena that affect the DE when subjec...

As the intelligence and the functionality of microrobots increase, there is a growing need to incorporate sensors into these robots. In order to imit the outer dimensions of these microsystems, this research investigates sensors that can be integrated efficiently into microactuators. Here, a neumatic piston-cylinder microactuator with an integrated inductive position sensor was developed. The m...

In this paper we present three new schemes for sensor and actuator fault diagnosis for linear time-invariant systems: multirate parity-space techniques, multirate observers, and multirate detection filters. We show that these approaches offer distinct advantages over conventional fault diagnosis schemes in terms of ease of failure detection, the speed and the class of systems for which detectio...

This paper proposes Spinning Sensors, a middleware system for creating robotic sensor network applications. This middleware enables application programmers to easily write application software which utilizes both sensors and actuators in their network. In the Spinning Sensors model, a sensor node is attached to a robotic actuator to change its position and/or direction. The continuous position ...

Recent research has indicated that using the mobility of the actuator in wireless sensor and actuator networks (WSANs) to achieve mobile data collection can greatly increase the sensor network lifetime. However, mobile data collection may result in unacceptable collection delays in the network if the path of the actuator is too long. Because real-time network applications require meeting data c...