article proffers a fuzzy logic model for assessing and mapping stakeholders' control influences to boost Scopus/WoS-indexed publications by researchers. The conceptual framework of the model integrates ideas from theories of stakeholders and control, as well as Vroom's motivation theory. The suggested model is underpinned by tools of fuzzy sets and fuzzy logic, the expert judgment method, and a validated fuzzy model for motivation towards high-quality publications. The independent variables used are stakeholder potential and motivation. The model was implemented at a university in Bulgaria. According to the results, it is straightforward to implement, operates successfully, and offers numerous benefits. Theoretically, the model advances and refines frameworks related to control over research output. Additionally, it represents a follow-up to established motivational frameworks to increase research productivity. In terms of practice, the model can function as a tool for boosting the quantity of Scopus/WoS-indexed publications in universities, thereby improving their scientific outcomes and academic governance at the national level.
This paper presents a robust control framework for Boost Direct Current to Direct Current (DC-DC) converters based on ,u-synthesis in MATLAB. The approach explicitly models structured parameter uncertainties, including the capacitor Equivalent Series Resistance (ESR) and load variations, and tailors the weighting filters to balance tracking performance, control effort, and noise attenuation. In simulations, the ,u-controller achieves zero overshoot, settling time approximate to 1.2 ms, and steady-state error < 0.01 V, while a tuned Proportional-Integral-Derivative (PID) baseline exhibits similar to 12% overshoot, settling time approximate to 2.5 ms, and approximate to 0.45 V steady-state error under the same uncertainty set. Robust stability is certified by ,u-bounds below unity across the design frequency band, and robust performance margins meet the specification. Novelty and contributions: explicit inclusion of capacitor ESR as a structured uncertainty in the modeling and synthesis loop; an implementation-oriented workflow (linearization -> weighting design -> D-K iteration -> realization) with reproducible MATLAB code; and a quantitative benchmark versus a classical PID baseline under identical operating scenarios. The results support the deployment of the proposed controller in renewable and automotive applications that require resilience to parameter variations and fast transients.
Magnetoelectric materials belong to the class of multiferroic structures in which electric polarization can be induced by the application of a magnetic field. In multilayer magnetoelectric elements consisting of magnetostrictive and piezoelectric layers, energy conversion occurs through mechanical coupling between the layers. Such structures can be used in sensors, automation systems, medical devices, and energy harvesting applications. Studies show that magnetoelectric elements can be effectively used in energy generators and can operate in both resonant and non-resonant modes. Experiments with elements of different dimensions (for example, $\mathbf{7 0} \times \mathbf{1 2} \times \mathbf{0 . 5 4 ~ m m}$) demonstrated that at a resonance frequency of about 21 kHz the output power can reach approximately 1 mW. The obtained results confirm the potential of magnetoelectric elements for the development of magnetoelectric generators. Moreover, the use of several elements operating in a resonant mode makes it possible to significantly increase the output power and enables such systems to be used for powering autonomous devices.
The lateral adhesion between vehicle tires and the road surface is a key factor determining vehicle stability and safety during cornering. Accurate estimation of this parameter under real-world driving conditions remains challenging, particularly with low-cost sensing systems. This paper presents an experimental approach to estimate the lateral adhesion coefficient from measurements of the vehicle’s roll angle during steady-state motion on a curve. An analytical relationship between the roll angle, vehicle speed, curve radius, and suspension parameters is derived, enabling the estimation of tire–road interaction characteristics from measurable quantities. The experimental setup uses a low-cost inertial measurement unit to measure the vehicle’s roll angle under real operating conditions. The proposed approach is evaluated across different combinations of vehicle speed and curve radius, enabling assessment of the model’s applicability and identification of conditions approaching the limits of lateral stability. The results demonstrate that roll angle measurements obtained from an IMU sensor can be used to estimate vehicle dynamic parameters and provide useful information about tire–road adhesion in practical driving scenarios.
This paper presents a robust control design methodology for a serial DC-AC converter based on H infinity synthesis and a MATLAB/Simulink modeling framework. A mathematical model of the converter is derived and linearized around a selected operating point to obtain a plant representation suitable for robust controller synthesis. Performance objectives related to output regulation, disturbance rejection, and control effort are formulated using appropriate weighting functions. An H infinity controller is then synthesized and evaluated under parameter variations and load disturbances. The results demonstrate improved robustness and dynamic performance compared to conventional linear control approaches, confirming the suitability of H infinity-based design for power electronic converters operating under uncertainty.
