# Software Listing: Nonlinear

Single tank nonlinear model using simuling and linearization of it to find the transfer funtion. Response ot the linear and nonlinear system comparision.

• Publisher: Ankit Shah
• Date: 18-05-2013
• Size: 31 KB
• Platform: Matlab, Scripts

Three different nonlinear control algorithms are used to control a three degree of freedom PUMA560 robot. These algorithms are: Computed Torque Control, Sliding Mode and Backstepping Control. The robot dynamics are taken from: Brian Armstrong, Oussama Khatib & Joel Burdick , 'The Explicit Dynamic Model and Inertial Parameters of the PUMA 560 Arm' , Stanford University, Artificial Intelligence Laboratory, IEEE 1986 Put the libraries lorenz3d, sfunxyz and m3dscope into your work folder of the MATLAB.

• Platform: Matlab, Scripts

FitChiTool provides an interface similar to the Curve Fitting Toolbox to the fitChiSquare function. This allows you to perform fits using chi-square when measurement errors are known on linear or nonlinear models. It allows allows you to perform fits with multiple independent (more than one x) variables. If measurement errors are unknown, it performs nonlinear least-squares fitting (chi-square equal to 1). To get started with FitChiTool, run the tutorial in the included HTML documentation (or run FitChiToolExample)..

• Platform: Matlab, Scripts

Solves the mixed integer nonlinear problem: min p(x,y) s.t. f(x,y) <= 0 s.t. g(x,y) == 0 s.t. lb <= x <= ub s.t. nlb <= y <= nub x(yidx) integer where yidx is a logical index vector y continuous variables This program solves nonlinear mixed integer problems with a branch and bound method. NLP relaxations are solved with IPOPT or APOPT. Files: minlp.m - Solve the example MINLP problem minlp.apm - MINLP problem definition Other: APM Function Library (v.0.5.6) in folder Further work: Add heuristics to create a good initial integer solution Add cuts to the problem (branch and cut method) Some testing shows that it works well with up to around 30 integer variables and 10000 NLP variables.

• Platform: Matlab, Scripts
• NLREG
• Price: 195.00

NLREG performs nonlinear regression and curve fitting. NLREG fits a mathematical function whose form you specify to a set of data values. Virtually any type of function can be fitted. NLREG includes a programming language similar to C that you use for describing the function to be fitted. Two dimensional line and three dimensional surface plots can be generated. The programming language includes a large selection of built-in library functions (sin, cos, log, exp, etc.) that makes it easy to describe complicated models..

• Platform: Win2000, Windows Server, WinOther

The software system solves constrained nonlinear parameter estimation problems. Synonyms are data fitting, nonlinear regression, parameter identification, curve and surface fitting. The numerical methods are based on highly efficient Gauss-Newton-SQP algorithms. Model functions are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime.

General: Arbitrary fitting criteria depending on parameters to be estimated, additional nonlinear equality or inequality constraints, and optionally on a second independent model variable

Numerical routines: Gauss-Newton-type SQP methods, automatic differentiation, alternative norms (sum of absolute values, maximum of absolute values), confidence intervals for estimated parameters, correlation and covariance matrix, identification of significance...

• Platform: WinOther, WinVista

System of Nonlinear Equations numerically solves systems of simultaneous nonlinear equations. It can fully explore defined intervals to search for multiple solutions or quickly find solutions starting with random seeds. You may predefine constants and specify the error bound for the results. Handles a wide variety of functions, including trigonometric and hyperbolic functions. Results can be saved or printed. Includes a help file with instructions, example and methodology.. Numerical Mathematics.. Free Numerical Mathematics software downloads.

• Platform: Win2000, WinOther

The software system allows to solve constrained nonlinear programming problems by an efficient sequential quadratic programming (SQP) method. A nonlinear objective function is to be minimized subject to nonlinear equality or inequality constraints. The mathematical method represents the scientific state-of-the-art. Model functions are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime. It is assumed that all nonlinear functions are differentiable. Gradients are computed automatically. EASY-OPT Express is particularly useful for classroom exercises of optimization courses or to become familiar with optimization routines before starting a real life implementation.

• Platform: WinOther

The system solves constrained nonlinear parameter estimation (nonlinear regression, data, curve and surface fitting) problems based on ODEs, DAEs, PDEs, PDAEs, steady-state systems, Laplace equations, and analytical functions. A statistical analysis provides confidence intervals, correlation and covariance matrix, identification of significant parameters, and allows optimum experimental design. Model equations are defined in a modeling language called PCOMP and are interpreted and evaluated during runtime. General: Arbitrary fitting criteria depending on the solution of a dynamical system, e.

• Platform: WinOther, WinVista

The APMonitor Modeling Language is optimization software for differential and algebraic equations. It is coupled with large-scale nonlinear programming solvers for data reconciliation, real-time optimization, dynamic simulation, and nonlinear predictive control. It is available as a free web service or for commercial licensing. Try Example Optimization Problems Browse or modify example problems to start solving nonlinear programming problems with up to 10 million variables through a web-interface. Discussion Forum and Webinars Users share experiences and collaborate through an online discussion forum and regularly scheduled webinars.

• Publisher: APMonitor
• Date: 02-11-2012
• Size: 225 KB
• Platform: WinOther

The Biopsychology Nonlinear Toolbox is a MATLAB toolbox that combines established analysis routines in one easy to use graphical user interface..

• Platform: Linux, Mac OS X, WinOther

A nonlinear video editor designed to be highly modular andextensible..

• Platform: Linux, Unix

NLO helps studying the nonlinear optical effects of crystals. It offers a GUI to plot the theoret. expected "maker fringes", captures images from video, retrieves data from and sends data to a LockIn, controls a stepping motor, imports and plots datase.

• Platform: Linux, Mac OS X, WinOther

The proposed algorithm is based on nonlinear derivatives to automatically select the best edge information. This algorithm can replace the classical derivative with the following benefits: - univocal edge localization for synthetic and real images - noise reduction with no regularization: the noise level is weaker that the noise level in the original image - better direction estimation of the gradient - can product a confident edge reference map with synthetic images - extremely efficient on salt noise OR pepper noise (this last case needs a change in the nonlinear derivatives) - still noise reduction with regularized schemes (Canny, Demigny, .

• Platform: Matlab, Scripts

This 15-line matlab program solves the nonlinear reaction diffusion equation, called Kolmogorov-Petrovskii-Piskunov (KPP) equation to generate patterns (ribbons and rings). The numerical method is simple and program is easy to understand, and it can be extended to simulated more complex systems. The snapshot was generated by pattern(400);.

• Platform: Matlab, Scripts

The function LMFsolve.m serves for finding optimal solution of an overdetermined system of nonlinear equations in the least-squares sense. The standard Levenberg- Marquardt algorithm was modified by Fletcher and coded in FORTRAN many years ago. LMFsolve is its essentially shortened version implemented in MATLAB and complemented by setting iteration parameters as options. This part of the code has been strongly influenced by Duane Hanselman's function mmfsolve.m. Next to it, a finite difference approximation of Jacobian matrix is appended to it as a nested subfunction as well as a function for dispaying of intermediate results.

• Platform: Matlab, Scripts

This ZIP file contains the nonlinear model of an F-16 fighter aircraft in MATLAB/Simulink, Both high-fidelity and low-fidelity aerodynamic data are available, taken from NASA report 1538 and "Aircraft Control and Simulation" by Lewis & Stevens. A trim function is also included. F16dyn.c and F16dynam.c contain essentially the same model, only differing in the use of quaternions vs. Euler angles. F16dynam_complex.c is updated with more general equations of motion so that cg shifts can be taken into account. F16dyn_decoupled.c created by E.R. van Oort contains a model with decoupled left and right ailerons and elevators.

• Platform: Matlab, Scripts

L-BFGS-B is a collection of Fortran 77 routines for solving nonlinear optimization problems with bound constraints on the variables. One of the key features of the nonlinear solver is that the Hessian is not needed. I've designed an interface to the L-BFGS-B solver so that it can be called like any other function in MATLAB.

• Platform: Matlab, Scripts

Golden Section search for minimizing a nonlinear function in one dimension Davidon-Fletcher-Powell (DFP) method. This is a method to solve an unconstrained nonlinear program.

• Platform: Matlab, Scripts

GANSO is a programming library for global and nonsmooth, nonlinear optimization. Unlike local methods (e.g., quasi-Newton), global optimization methods aim at locating the absolute minimum of a function, not the nearest stationary point. GANSO toolbox provides an interface for calling GANSO methods from Matlab. The user manual describes various optimization strategies, complete syntaxis and several examples of Matlab code..

• Platform: Matlab, Scripts

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