Applications of Mathematical Models in Engineering

• Autore: Dulf Eva H
• Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
• Descrizione fisica: 1 online resource (418 p.)
• Soggetto topico: History of engineering & technology; Technology: general issues
• Soggetto non controllato: 3D runoff difference model; active disturbance rejection control (ADRC); adaptive control; analytical methods; artificial bee colony optimization; automatic optical inspection; automatic uncertainty bound computation; basinI; basinII; batch bioreactors; biotechnology; blade vibration; boost; buck; CACSD toolbox; CNC machine; comparative closed loop results; Computation Fluid Dynamics; control system design and synthesis; control system realization; cruise altitude; curve number; D-K iteration; DC-to-DC power converters; desalination; dual solutions; event-based implementation; eXterme Gradient Boosting; fermentation process; finite element method; first order plus dead-time processes; FO-PID; fractional calculus; fractional order IMC; fractional-order control; fuel consumption; genetic algorithm; gridshell structures; ℋ∞ control; Hermite-Simpson method; humidification-dehumidification; hybrid nanofluid; hybrid simulation; hydraulic simulation tool; inferential statistics; kinetic theory; length ratio; linear control; Linear Matrix Inequality; local RBF-FD; low-cost design; m-σ terminal residual analysis (m-σ TRA); machine learning; mathematical model; mean pressure head; mixed convection; mixed sensitivity; mixed-sensitivity; model calibration; model reference adaptive control; Model-in-the-Loop simulation; modeling; modified affinity laws; multi-objective optimization; multiobjective optimization; nonlinear wave phenomen; numerical simulations; operating point linearization; parallel robots; particle swarm optimization; PAT model; power transformer; pressure head with different probabilities of occurrence; quaternion-based estimator; radiation; rainfall-runoff model; RBF; regularity; robust control; SEPIC; shape ratio; sliding mode control; soft robotics; stability; stability analysis; stagnation point; standard deviation of the pressure fluctuations; statistical modeling; stray losses; swarm optimization; terminal residual analysis (TRA); thermo-economics; time delay systems; time to climb; trajectory optimization; tuning rules; twin rotor aerodynamic system; unmanned aerial vehicle (UAV); unsteady aerodynamic model; USBR; waste heat recovery; yearly analysis; μ synthesis; μ-synthesis
• Persona (resp. second.): MuresanCristina I; DulfEva H
• Sommario/riassunto: The most influential research topic in the twenty-first century seems to be mathematics, as it generates innovation in a wide range of research fields. It supports all engineering fields, but also areas such as medicine, healthcare, business, etc. Therefore, the intention of this Special Issue is to deal with mathematical works related to engineering and multidisciplinary problems. Modern developments in theoretical and applied science have widely depended our knowledge of the derivatives and integrals of the fractional order appearing in engineering practices. Therefore, one goal of this Special Issue is to focus on recent achievements and future challenges in the theory and applications of fractional calculus in engineering sciences. The special issue included some original research articles that address significant issues and contribute towards the development of new concepts, methodologies, applications, trends and knowledge in mathematics. Potential topics include, but are not limited to, the following: Fractional mathematical models; Computational methods for the fractional PDEs in engineering; New mathematical approaches, innovations and challenges in biotechnologies and biomedicine; Applied mathematics; Engineering research based on advanced mathematical tools.
• Titolo autorizzato: Applications of Mathematical Models in Engineering
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910566464603321
• Lo trovi qui: Univ. Federico II