The aim of this paper is to present a novel indoor positioning system which is based on an image display method. The basic idea of the indoor positioning method is presented. The optical sensing is a combination of specific analogue preprocessing and digital signal processing techniques that are capable of measuring and recognising markers that are mounted on the agent to be tracked. The paper mainly focuses on the three-dimensional position and attitude reconstruction methods for multiple makers in known configuration. The estimation of a single marker's position is typically based on more than two sensors' measurements. Therefore, it is different from the classical epipolar geometry based methods. Information about the configuration of multiple markers is included in the reconstruction method as constraints.

 The distributed consensus problem has been widely studied in the literature, either with fixed and with time-varying topologies. Typically, the set of agents involved in the consensus does not vary over time.

In this paper the possibility to dynamically add or remove nodes during consensus is investigated. Specifically, a framework for the achievement of consensus while dynamically adding nodes to the network is provided, together with a stability condition. Moreover, the effects of removing a single node in the network at a given time instant are inspected, characterizing the difference between the asymptotic values with and without the removed node, depending on the removal time instant. A further result provided in this paper is the relation between the node removal at a given time instant and the initial removal of that node (i.e., at the initial time step).

 This paper considers interconnected systems consisting of identical subsystems. The subsystem interconnections are either caused by the physical relations or have to introduced by the controllers. In both cases, decomposition methods are needed to reduce the complexity of the controller design problem. The discrete-time LQR design problem for interconnected systems is considered in this paper. A decomposition approach is introduced which can be uniformly applied to both interconnection structures. It reduces the controller design for the overall system to separate design problems for the modified subsystems, which have the order of a single isolated subsystem.

 This paper presents a library of Simulink blocks, aimed at facilitating research and education in the area of multi-vehicle systems. The inherent complexity involved in modeling, simulating and experimenting with multi-vehicle systems presents significant challenges for researchers, educators and students. There is a need for re-usable building blocks implementing standard vehicle models and control laws, as well as convenient visualization components and interfaces. Furthermore, well-designed system building blocks make the transition from simulation to actual hardware experiments as seamless as possible. The described library, called AVLib, provides such tools, implemented as a set of Simulink blocks that are easy to use, can be extended with other Simulink blocks, and are scalable to model systems comprised of several hundreds of agents. We present several case studies showing how the AVLib library can facilitate research of multi-vehicle systems.

 In this paper a novel consensus-based distributed algorithm for blind macro-calibration in sensor networks is proposed. It is proved, on the basis of an originally developed methodology for treating higher order consensus schemes, that the algorithm achieves asymptotic agreement for sensor gains and offsets in the mean square sense and with probability one. In the case of a given reference, all sensors are asymptotically calibrated. Simulation results illustrate properties of the algorithm.

 The objective of this work is to provide the performance-based guidance of multiple mobile sensing agents onboard air vehicles that are used for the state reconstruction associated with gaseous sources. A source is assumed to move freely in the spatial domain of interest and multiple sensing air vehicles (SAV) are employed to assess the effects of the moving source. A model-based estimation scheme is implemented in order to primarily estimate the effects (concentration) of the moving source with a secondary goal of estimating the proximity of the moving source. The proposed guidance scheme provides the spatial relocation of the SAVs based solely on the performance of the estimation scheme. Extensive numerical studies for both stationary and mobile sources are considered to provide a convincing argument on the performance-based guidance of mobile sensors.