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The possibility to use the Message Queue Telemetry Transport (MQTT) protocol-based cloud platform for collecting information from and transmitting remote control commands to the laboratory prototype of a robotized wireless sensor network has been investigated. The obtained experimental results with the designed communication have demonstrated the data transmission performance of the network sensor...
Some problems related to the efficiency of rooftop or building integrated photovoltaic (PV) plants are studied in this paper. The economic performance of PV plants depends strongly on the support schemes and policy applied in the different markets. The status quo of Bulgarian electrical power market has been analyzed and a specific approach for sizing the rooftop PV based on the power consumption...
In the recent years sensor networks have emerged as an effective tool for monitoring environments that are large in size and have complex topology. They have been successfully applied to solve various problems such as monitoring of different environmental indicators, detection of floods and fires, temperature control in office buildings, to collect information about the health status of hospitalized...
The interest into the unmanned aerial vehicles (UAVs) has largely increased recently. With the advances in technologies it has become possible to test efficiently and cost-effectively different autonomous flight control concepts using small-scale aircrafts. In this paper the stabilizing control problem of quad-rotor rotorcraft using multiple sliding surface (MSS) controllers has been investigated...
Cerebellar model articulation controller (CMAC) networks have been widely applied to problems involving modeling and control of complex dynamical systems because of their computational simplicity, fast learning and good generalization capability. The integration of fuzzy logic systems and CMAC networks into fuzzy CMAC structures can help to improve their function approximation accuracy in terms of...
An incrementally tuned interval type-2 Takagi-Sugeno-Kang (TSK) fuzzy neural network implementing fuzzy if-then rule base with first order output functions is proposed for compensation of friction and disturbance effects during the trajectory tracking control of rigid robot manipulators. Friction and disturbances have an important influence on the robot manipulator dynamics. They are highly nonlinear...
Type-2 fuzzy logic systems are an area of growing interest over the last years. The ability to model uncertainties and to perform under noisy conditions in a better way than type-1 fuzzy logic systems increases their applicability. A new stable on-line learning algorithm for interval type-2 Takagi–Sugeno–Kang (TSK) fuzzy neural networks is proposed in this paper. Differently from the other recently...
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