robust constrained model predictive control
Robust constrained model predictive control based on parameter-dependent Lyapunov functions
... of robust constrained model predictive control based on parameter-dependent Lya- punov functions with polytopic type uncertainty has been addressed in this ...feedback control ...
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Robust predictive feedback control for constrained systems
... a control philosophy similar to an optimal open-loop control law, which allows constraints to be included in a simple and efficient ...of model realizations that describe the plant ...possible ...
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Artificial pancreas based on model predictive control
... strategy that offers attractive solutions, already successfully implemented in industry, for the regulation of constrained linear or nonlinear systems. In this method, the MPC controller design methodology will be ...
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Robust semi-explicit model predictive control for hybrid automata
... In this paper, a computationally efficient solu- tion is presented for the supervisory target con- trol of hybrid automata (Trontis and Spathopou- los, 2003). The controller design can be considered as a two stage ...
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Research Article Robust Model Predictive Control of Networked Control Systems under Input Constraints and Packet Dropouts
... Model predictive control (MPC) [1, 2] is an important method to handle control problems with systems having input, state, and output constraints ...open-loop constrained infinite ...
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Control of Constrained Linear-Time Varying Systems via Kautz Parametrization of Model Predictive Control Scheme
... Keeping computation times, consequently the sampling time, in Model Predictive Control (MPC) as small as possible is a continuous challenge. In order to address this issue, different approaches have ...
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Robust Model Predictive Control for humanoids standing balancing
... cart-table model uses the CoM acceleration to generate the ...cart-table model allows the robust EPSAC controller to generate a CoM trajectory with an acceleration profile such that the resulting ZMP ...
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Trajectory-linearization Based Robust Model Predictive Control for Unmanned Surface Vessels with System Constraints
... min-max MPC [23, 24] and constraint tightening approaches [25, 26]. In these results, the constraints are satisfied in receding horizon optimization, which is online solved for all possible realization of uncer- ...
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Nested Distributed Model Predictive Control
... local control problem is then to regulate the uncertain, constrained LTI system (6) which is subject to bounded additive disturbances, and the direct application of a robust MPC technique will (under ...
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Model Predictive Control (MPC) for Constrained Nonlinear Systems
... Chapter 5 Robust Output Feedback Contractive NLMPC: Parameter Uncertainty Theorem 5.1 Computation of a bound on the difference between model and plant states at the end of prediction hor[r] ...
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Robust predictive control of constrained systems with actuating delay.
... the robust MPC schemes proposed were in a way a subsidiary to ...schemes model predictive control with contractive invariance constraint (MPCCIC) [18] is chosen and extended in this thesis ...
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Modelling and Controlling the Level of Nonlinear Process via Diverse Control Strategies
... The model of conical tank system is implemented. The mathematical model of conical tank level process is derived in terms of differential equation and an open loop response is obtained by performing step ...
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Robust Nonlinear Model Predictive Control of Biosystems described by Dynamic Metabolic Flux Models
... information. Thus, the hierarchical strategy is only optimal when the system is operating in the neighborhood of a particular steady state. However, since the process conditions might be far away from steady state due to ...
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Robust predictive tracking control for a class of nonlinear systems
... A robust predictive tracking control (RPTC) approach is developed in this paper to deal with a class of nonlinear SISO ...the control performance, the RPTC architecture mainly consists of a ...
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Approximation methodologies for explicit model predictive control of complex systems
... nonlinear model predictive control technology, a trend that has recently been exacerbated by the necessity to comply with tighter safety regulations and efforts to reduce operating costs in an ...
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Model Predictive Control. Rockwell Automation Model Predictive Control delivers results.
... Rockwell Automation MPC technology uses hybrid modeling capabilities that enable each model to incorporate all available knowledge about the process to deliver the most accurate, highest fidelity models possible. ...
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Constrained Controller Design for Real-time Delay Recovery in Metro Systems
... introduced predictive traffic regulation for metro loop ...on control actions, minimum intervals and constraints related to signaling ...and Model Predictive Control (MPC), for real- ...
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Ontology based semantic predictive model for reconfigurable automation systems
... appropriate control logic and basic information, as a result, process flow chart is displayed on this platform and can be easily modified to accommodate an unexpected ...transformation model is necessary to ...
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A Sliding Mode-Based Predictive Strategy for Irrigation Canal Pools
... According to the SMC theory [22], the first step to design the controller is to define a sliding surface, S (t ), along which the process can slide to find its desired final value. Very often, S (t) is chosen in such a ...
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An Adaptive Disturbance Model for Model Predictive Control
... Model predictive control is the most widely applied advanced control technique in the process ...plant model to predict its behavior over a certain time ...a model based ...
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