Multi-Parametric Toolbox (MPT)
نویسندگان
چکیده
منابع مشابه
Improving Reliability of Partition Computation in Explicit MPC with MPT Toolbox
The paper addresses the problem of numerical issues and degeneracies in the parametric quadratic programming (pQP) algorithm, used for computing partitions of explicit model predictive controllers (eMPC) with the Multi-Parametric Toolbox (MPT). We summarise the pQP problem setup and the basic algorithm, analyse its implementation in MPT, expose the numerical issues and suggest a series of impro...
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Explicit Model Predictive Control approach provides offline computation of the optimization law by Multi Parametric Quadratic Programming. The solution is Piece wise affine in nature. It is explicit representation of the system states and control inputs. Such law then can be solved using binary search tree and can be evaluated for fast dynamic systems. Implementing such controllers can be done ...
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A robust PID controller design toolbox for Matlab is presented in this paper. The design is based on linearizing or convexifying the conventional non-convex constraints on the classical robustness margins or H∞ constraints. Then the existing optimization solvers can be used to compute the controller parameters. The software can be used in a wide range of controller design problems, including mu...
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We review a set of complementary EEG data collection and processing tools recently developed at the Swartz Center for Computational Neuroscience and connecting to the EEGLAB software environment (sccn.ucsd.edu/eeglab), a freely available and readily extensible processing environment running under Matlab (The Mathworks, Inc.). These new tools include: (1) a new and flexible EEGLAB STUDY.design f...
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We review a current and popular class of cognitive models called multinomial processing tree (MPT) models. MPT models are simple, substantively motivated statistical models that can be applied to categorical data. They are useful as data-analysis tools for measuring underlying or latent cognitive capacities and as simple models for representing and testing competing psychological theories. We f...
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