Model predictive control
CONTROL OF NONLINEAR PROCESS USING NEURAL NETWORK BASED MODEL PREDICTIVE CONTROL
... based Model Predictive Control (NNMPC) strategy to control nonlinear ...(NARX) model of a nonlinear system. NARX dynamic model is based on feed-forward architecture and offers ...
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An AUV Systems Model Predictive Control Approach
... nonlinear model predictive control (NMPC) framework for collision-free formation flight controller design for unmanned aerial ve- hicles, (53), being the formation flight controller designed in a ...
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Dynamic Modeling and Multivariable Model Predictive Control of the Air Separation Columns in an IGCC Power Plant
... multivariable model predictive control for the ASU has been developed as illustrated in ...the control system is tested against a limit number of ...purity control for the product ...
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A Model Predictive Control Framework for AUV Formation Control
... very low data rates, are unreliable and power hun- gry. This makes the case for systems for which the overall management of onboard resources has to be carefully optimized. Moreover, hydrodynamic effects make precise ...
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A General Attainable-Set Model Predictive Control Scheme. Application to AUV Operations
... new Model Predictive Control (MPC) scheme that, by taking advantage of the time invariant objects of the control problem, replaces as much as possible the on-line computational burden of the ...
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A model predictive control approach to AUVs motion coordination
... Model predictive control (MPC)-like schemes have been widely adopted to for- mulate decentralized cooperative control ...coordinated control. Typi- cally, in the approaches to ...
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Tube Model Predictive Control with an Auxiliary Sliding Mode Controller
... Model Predictive Control (MPC) has been a great in- dustrial success, particularly in the process industries (Qin and Badgwell, 2003). Still, robustness of MPC controllers continues to be an active ...
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A Hybrid Systems Model Predictive Control Framework for AUV Motion Control
... pertinent control features for most of the mission scenarios involving AUVS are guaranteed: (i) optimization driven, (ii) state feedback, and (iii) computationally ...
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Integração da otimização em tempo real (RTO) e controle avançado (MPC) de uma separadora...
... process control (APC) and real-time optimization (RTO) ...best control and stabilize the plant while looking for the most profitable operating ...Then, Model Predictive Control (MPC), ...
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Braz. J. Chem. Eng. vol.33 número1
... space model, which is suitable for heavily disturbed ...The predictive controller is the Infinite Horizon Model Predictive Control (IHMPC), based on a state-space model that that ...
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Model Predictive Approach to Precision Contouring Control for Feed Drive Systems
... Numerical Control (CNC) machines, machining precision is evaluated by error components orthogonal to desired contour ...applied model predictive design to contouring control ...systems. ...
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J. Braz. Soc. Mech. Sci. & Eng. vol.26 número3
... A control architecture, consisting of a linear PID joint controller with model predictive feed-forward compensation for mobile base motions and interactive-force disturbance rejection is ...robots, ...
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Sérgio Jorge Pereira da Costa
... Model predictive control or receding horizon control of nonlinear systems has been proven to be a powerful tool on control of DPS and its combination with adaptation laws, in the sense ...
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UNIVERSIDADE DE BRASÍLIA FACULDADE DE TECNOLOGIA DEPARTAMENTO DE ENGENHARIA ELÉTRICA SISTEMA DE APONTAMENTO DE ANTENA PARA ESTAÇÃO DE COMUNICAÇÃO COM SATÉLITES ANDRÉ LUIZ GAMA DE SOUZA
... Reduced Model Predictive Control), baseado no algoritmo de MPC utilizado em [41], que é similar a [42, 43, 44, 45, 46], trabalhos que utilizam o MPC para controle de apontamento de antena de estação ...
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A Reach Set MPC Scheme for the Cooperative Control of Autonomous Underwater Vehicles
... nonlinear model predictive control (NMPC) frame- work for collision-free formation flight controller de- sign for unmanned aerial vehicles was proposed in [Chao et ...tracking model ...
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Braz. J. Chem. Eng. vol.33 número2
... for model predictive control are ...horizon model predictive controller in closed-loop with a 3x3 subsystem of the Shell Heavy Oil Fractionator benchmark ...
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Decoupling multivariable GPC with reference observation and feed-forward compensation method Case Study: Neonate incubator
... generalized predictive control with ...two predictive control algorithms can be adapted to decrease the coupling effect between controlled variables (temperature and humidity) of incubator ...
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Improved Predictive Power Control Algorithms to Increase CDMA System Capacity
... power control in the uplink is indispensable to keep the interference acceptable to all users and to obtain a considerable channel-capacity ...power control is considered for the uplink CDMA channel based ...
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An Acad Bras Cienc (2016) 88 (3 Suppl.)
... Planktonic models represent a powerful tool for creating hypotheses and making predictions about the functioning of marine ecosystems. Their complexity varies according to the number of state variables and the choice of ...
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Predictive Modeling to Increase the Reliability of Production Planning in Single-item Production
... often have different dimensions. Therefor the estimation of process time is a big challenge in production planning. This problem is especially noticeable in welding processes. The actual state of art includes only few ...
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