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- processing and communications, image and video processing, control systems, test and measurement, computational finance...
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- graphics, but the user retains full control. R is the base for many R packages...
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- powerful design tools in areas ranging from control engineering to system identification and structural design ... Control Toolbox implements state-of-the-art interior-point LMI solvers. While these solvers ... efficient “structured” representation of LMIs, the LMI Control Toolbox is geared to making the most...
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- based hosting service for version control using git. It is mostly used for computer code ... offers all of the distributed version control and source code management (SCM) functionality ... adding its own features. It provides access control and several collaboration features such...
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- collection of non-deterministic processes with finite control structure and real-valued clocks, communicating through ... LPW97b]. Typical application areas include real-time controllers and communication protocols in particular, those where...
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- parameter identification problem and a discretized optimal control problem, both of which are used ... parameter identification problem and the discretized optimal control problem introduced in chapter 1, and with...
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- problems. The package initially aimed at the control community and focused on semidefinite programming...
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- wide variety of forms; automatic and user controlled simplification of expressions; calculations with symbolic matrices...
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- variety of time-varying systems, including communications, controls, signal processing, video processing, and image processing...
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- standard ’point-and-click’ windows interface for controlling the analysis, or can construct the model...
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- model development, while its speed and control options make it an especially efficient choice...
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- implement many of the operations of supervisory control theory, and routines that implement the methodology ... models, and the theory of supervisory control of discrete event systems...
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- price. It allows for total control of the solution process and the access of detailed...
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- identify nonlinear components on-line in a control system, and predict a chaotic time series ... proposed ANFIS and promising applications to automatic control and signal processing are also suggested...
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- various fields such as optimization, probability, finance, control, signal processing, chemistry, cristallography, tomography, etc.The present ... optimization, probability, financial economics and optimal control, can be viewed as particular instances...
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- automated solution of variational problems, automated error control and adaptivity, a comprehensive library of finite...
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- ActiveX Data Objects, and creation of ActiveX controls and objects... (wikipedia...
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- task within strict time deadlines. Embedded controllers, circuits and communication protocols are examples of such...
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- design, analysis and deployment of optimal controllers for constrained linear, nonlinear and hybrid systems. Efficiency ... create custom objective functions. Resulting optimal control laws can either be embedded into your applications...
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- graphical model, using ℓ 1 regularization to control the number of zeros in the precision...