A5013424041- Advanced Control Systems Optimization
- Control Systems and Identification
- Fault Detection and Control Systems
- Advanced Control Systems Design
- Greenhouse Technology and Climate Control
- Extremum Seeking Control Systems
- Aerospace Engineering and Control Systems
- Antifungal resistance and susceptibility
- Engine and Fuel Emissions
- Plant Ecology and Soil Science
- Optimal Experimental Design Methods
- Pesticide Residue Analysis and Safety
- Education and Teacher Training
- Biliary and Gastrointestinal Fistulas
- Building Energy and Comfort Optimization
- Adaptive Control of Nonlinear Systems
- Technical Engine Diagnostics and Monitoring
- Numerical methods for differential equations
- Tactile and Sensory Interactions
- Matrix Theory and Algorithms
- Educational Outcomes and Influences
- Statistical and numerical algorithms
- Sensor Technology and Measurement Systems
- Smart Parking Systems Research
- Microscopic Colitis
Universitat Politècnica de València
2002-2024
Military University Nueva Granada
2018
Universidade Federal de Itajubá
2002
This paper gathers the dynamical modeling of an unmanned aircraft and design simulation control system, allowing it to perform a Vertical Take-Off (VTOL) maneuver, fixed-wing (FW) flight transition between two configurations using tilting rotors (Bi-Tilt). These Unmanned Aerial Vehicles (UAVs) operating in this configuration are categorized as Hybrid UAVs, for their capability having dual envelope: flying like multi-rotor navigating traditional aircraft, drone complex missions where these...
Drained nutrient solution of soilless culture crops in many countries, is rejected to waste, producing undesirable polluting effects and reducing the water fertilizer use effciency cropping system.Current irrigation practices protected culture, are based either on fixed interval scheduling, corrected by means EC monitoring drainage or substrate extract, crop transpiration estimations solar radiation integration.Closed systems help improve efficiency, but management needs be optimized,...
The authors describe how energy saving has been obtained by using the soft-starter to reduce voltage applied motor. Iron losses are then reduced and is achieved. use of an autotransformer instead a enabled high saving, because additional due harmonic currents not present in this case. Energy with no load motor about 11% 25% when used, for torque proportional speed constant loads. decreased increased. until 42% rated torque; higher torques conservation So results paper useful only low...
In this paper a new multi-objective approach for loop pairing in multi-input/multi-output processes is studied. Each controller structure of proposed input-output considered as possible design concept. Under the meaningful objective space, defined by control engineer, concepts are compared and final with given trade-off chosen. By means an example, establishes several findings: first, type can be relevant when deciding on pairings second, it even more objectives chosen designer his/her...
In this paper the authors present a predictive linear parameter varying (LPV) controller based on GPC [1]–[3], for nonlinear systems. The resulting is denoted as GPC-LPV. This one has same structure general LPV [4]–[7], which lineal fractional dependence process signal measurements. Therefore, ability of modifying its dynamics depending measurements leading to possibly controller. That designed in two steps. First, given steady state point obtained using local model system around that...
Resumen En este trabajo se presenta el sintonizado del Regulador Lineal Cuadratico (LQR) mediante la tecnica de incertidumbre acotada en los datos o Bounded Data Uncertainties (BDU) con fin mejorar robustez sistema, planteandose como un Min-Max donde busca mejor solucion peor escenario posible. Asi ofrece nuevo metodo guiado ajuste LQR, considerando limites incertidumbre. La aplicacion a sistemas multidimensionales no es trivial, pues forma Two-Point Boundary Value Problem (TPBVP), cual...
In this work, different control laws of Model Predictive Control (MPC) are offered in order to improve the stability and robustness aspects. The CRHPC (Constrained Receding-Horizon Control) provides de (in absence uncertainty), BDU (Bounded Data Uncertainties) technique a guided regularization improving ill-conditioning, presenting original CRHPC-BDU. objective work consists, on one hand, offering alternative CRHPC, using mathematical tools comparing them. These ones constitute basis for...