MATLAB, Version 5.3, The MathWorks Inc. (1999).  Home/Search   Document Not in Database   Summary   Related Articles   Check

....0 0.1 0.2 0.3 0.4 0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0.8 [V] Vb1 Vb2 Vb1 Vb2 Fig. 3. SpectreS simulation of the analog additive inverter. The supply voltage is equal to 0.8V . If I n = I p and k i = k r we have that V out = V in = V dd V in and I n = I p = I bec . Matlab[13] using the EKV [14] transistor model and spectreS simulation of the analog inverter in Fig. 4 (a) are shown together with measured result in Fig. 4 (c) Experimental results suggest that the analog inverter can operate for supply voltages down to 0.2V . VI. The floating gate ULV multiplier We ....

Matlab reference Guide., The Math Works Inc., Natick, MA.

....with and is the source simulation weight vector determined from the best fit to the in flight structural response parameters. The solution approach initially taken was to include all the ground simulation information in a single evaluation and to use a Moore Penrose pseudoinverse [9] of the over determined system of equations to obtain a solution. k = pinv[ A ] a . 2.17) The extent to which the above formulation of CRA facilitates noise source path identification for the Cessna Model 182E aircraft was evaluated using the ground test source simulation data sets ....

MATLAB The Language of Technical Computing, The Math Works Inc., Version 5, pp.

....voltage is equal to 0.8V. versely proportional to V b1 V b2 . The output voltage may be expressed as V out = F (V dd (V in1 V in2 ) 2) where F can be a sinh , tanh or a linear function depending on the bias inputs. The gain of the analog additive inverter is shown in figure 4. Matlab [12] and the EKV transistor model [13] were used to provide the data. Note that the gain range is close to 1000 for a supply voltage equal to 0.8V and k b = k i = 1 3. By increasing k b , and implicitly decreasing k i , we can increase the gain range further. If we connect the additive analog ....

Matlab reference Guide., The Math Works Inc., Natick, MA.

....LU factorizations, see, e.g. 19] or [20] Typically, 6) produces the smallest amount of fill in compared with the other formulas. 2.1 K,I,J implementations A sample routine for performing an incomplete LU decomposition is given by the fol lowing abstract algorithm. The MATLAB notation [1] is used for convenience. For two integers k, l, k: 1 denotes the sequence (k, k l, l) with the convention that whenever k 1 the set is empty. For a matrix A = Aij)i= m,j= n we define Ak:l,q:r : Aij)i=k . l,j=q, r The notation: as a subscript indicates that all ....

....a subscript indicates that all columns rows entries are taken. Thus, A: 2 denotes the second column of A and A2, denotes its second row. Algorithm I (Incomplete LU factorization (ILU) Let A = Aij)ij E ]n,n. Compute an ILU factorization A LDU. L = U = I, A,D = A,C = 7 = 0. 4 fovk=l:n 1 [ 1 ]Uk,k. 1 Dkk Sk,k :n ] Lk:n, k Sk 1:n,kDk k Apply a dropping rule to Lk .n, U, n and include all (1, k) in , k, m) in 7 for which of Ll, Uk,m have been dropped Compute n, n according to one of the possible choice from (6) 9) i.e. compute n, n from one of the ....

MATLAB - The language of technical computing. The MathWorks Inc., 1996.

....response of open and closed loop systems in both the continuous and discrete time domain and in frequency domain. For example, the Bode plot for the second order system transfer function (confirm chapter 3. 1) x s u s s s = can be generated with these statements: numerator=1; denumerator=[1 1 3]; bode(numerator,denumerator) The plot generated is shown below Frequency (rad sec) 40 30 20 10 0 200 150 100 50 0 Fig. 4: Bode diagram 3.3 Using SIMULINK to design, test and rapid prototyping of control systems SIMULINK (a companion program to MATLAB) is an interactive system for ....

MATLAB Language Reference Manual, version 5, The MathWorks Inc.,1996

....the k closest training instances; for SVMs we picked thresholds on the distance from the optimal hyperplane; for SBC we chose thresholds on the probability of the active class, and for NNs on the activation level of the output unit. We used the SVMlight library [11] the NN toolbox of Matlab [15] and our own Matlab implementations for the remaining methods. 4.4 Experimental Results Table 3 shows the relative performance of all IAMB variants for all classifiers and feature selection methods. Table 4 summarizes the relative performance in terms of time of the IAMB variants when run on a ....

MATLAB 6.1, The MathWorks Inc.

.... software packages in a number of courses [1 10] Symbolic computation packages including Maple V, Mathematica, and MathCAD are being used for analysis and design [1,8] The use of MATLAB and its companion toolboxes, in teaching graduate and undergraduate control courses, are well documented [3,11,12]. SIMULINK with underlying MATLAB coding is an ideal package to simulate highly complex linear, non linear and discrete systems [4] The use of circuit simulators such as Electronics Workbench, PSpice and LabView has also increased in the analysis and design verification of electronic circuits ....

"MATLAB: User's Guide" Mathworks Inc, MA, USA, 1991

....now, the development of the executable code implementing a digital control system required good C C programming skills and, sometimes, also a deep knowledge of the numerical methods involved. An interesting way to overcome such a hurdle is o#ered by the MATLAB Simulink Real TimeWorkshop suite [5, 6, 7], or simply RTW in the followings. RTW is an automatic C language code generator for Simulink. Under Simulink it is possible to create, simulate and analyze complex dynamic systems by simply connecting functional blocks, mostly available from various preconfigured libraries, within a friendly ....

MATLAB User's Guide. The Math Works Inc., September 2000.

....different layers 16 lot types 3 levels of inspections) Product routings in the current process range from 200 to 500 steps depending upon technology, metal layer, lot type, and level of inspection. The fabrication process of the facility is modeled by QNA , which is coded in Matlab [3]. We assume no yield loss, no transportation time, and no rework at other areas (or nodes) but at photolithography area (later called photo area) since it is the process bottleneck. With massive data of the facility, inputs for the queueing model are retrieved from the facility s database (in MS ....

Matlab, Version 5.3.0, 1999, The MathWorks Inc.

....consider the behaviour of (for example) ffl(H) 1 ( Gamma1) H ] where [X] the integer part of X; 25) as a function of H 0. Plotting the graphs of ffl(H) against H for (i) H = 8 ; 8 ; 1, ii) H = 9 ; 9 ; 1 and (iii) H = 20 ; 20 ; 1 using Matlab [7] produces Figure 1. Numerical results cannot be said to prove (24) 13 0 0.5 1 1.5 2 2.5 3 H = 0:1 8:1] o H = 0:1 9:1] H = 0:1 20:1] 0 0.5 1 1.5 2 2.5 3 Sequence values Figure 2 The construction of the function ffl(H) is such that for a compatible discrete ....

Matlab,The MathWorks Inc., Natick, MA 01760.

....VALIDATION In this section, the method will be validated by deriving the dynamic sti ness along the beam length. The results of the test programme will be used to evaluate the dynamic sti ness at successive damage states. All numerical results are obtained from routines developed in the MATLAB [13] environment. The measured dynamic Young s modulus by an axial resonance test on a cylinder is 33,000 N mm#. Using the section dimensions (Figure 1) the bending sti ness for the test beam in the undamaged state is calculated to be 6)46#10# Nm#. The torsion sti ness in the undamaged state is ....

MATLAB revision 5.2 1998 The Mathworks Inc.

....parameters of a filter transfer function or the element values for a filter circuit realization. This paper describes a software package whose purpose is to provide a tool to be used as a teaching aid in analog and digital filter design courses. The feature of this package is that it uses MATLAB [2] for the numerical computations. The main advantage of the filter design software package described in this paper is that makes uses of one of the MATLAB toolboxes, the signals toolbox (which is used for analog and digital filter design) but used with an interface that makes possible even to the ....

....several drawbacks. One of the most important is that those packages have a very high price. This article describes a software package whose purpose is to provide a tool to be used as a teaching aid in analog and digital filter design courses. The feature of this package is that it uses MATLAB [2] for the numerical computations and thus it is called MFILTERS. MATLAB is now available in any university or industry, and it is used, among many other things, in the design of circuits and systems. One of the main characteristics of MATLAB is the availability of a set of toolboxes almost ready ....

MATLAB The Language of Technical Computing, The MathWorks Inc., Natick, MA., 1997.

....command and the COMMANDS block (Fig. 12) contains a couple step signal generators for each reference command. Fig. 11: Outputs Fig. 12: Commands 9. Data Structure All the Matlab variables necessary to MvTools are stored in a single global structure, which in turn contains four structures [8]: general, temp, evaluation, simulation; through the names it is therefore simple from the Matlab command line to access and to handle every variable that we could be interested in, or export data to other applications. ....

Using Matlab & Using Simulink, January 1999, The Mathworks Inc.

....hour periods. The indivisibility condition is enforced. The minimum daily income condition for those production units that have submitted it is verified, and units that do not meet such condition are not scheduled. The market clearing price algorithm has been programmed in MATLAB [6], a widely used scientific computing environment. The main advantages of adopting MATLAB package are related to the easy matrix computation and to the exhaustive built in mathematical library. Different clearing price algorithms can be easily programmed and substituted for the existing one. C. ....

MATLAB Reference Guide, The MathWorks Inc., Natick, MA, USA, 1992.

....Fig. 2) can be obtained if lower values of max. step and error limits are set: options= odeset( RelTol ,1e 7, AbsTol ,1e 8, MaxStep ,1e 1) Using Handle Graphics of MATLAB, one can plot only region of interest, e.g. part of diagram for time= 14,16] as on Fig. 2 set(gca, Xlim , 14,16] YLim ,[ 4,4], YLimMode , manual ) Integration algorithms of MATLAB are very efficient: computation time for example of Fig. 1 was only 6.98 seconds and when lower step and error limits were set (Fig. 2) computation time was 23.14 seconds. 2.4 Using Symbolic Math Toolbox The Symbolic Math Toolbox integrates ....

Using MATLAB, The MathWorks Inc.,1996

....the RMS value of a regulated output, the H 2 [8] norm of the corresponding closed loop transfer function is a more appropriate measure of stochastic performance. To meet both deterministic and stochastic requirements, the following multi objective optimisation problem was formulated and solved [5]: minK#S # # 2 (5) in which S denotes the set of all internally stabilising controllers. In addition, w 1 denotes the (deterministic) track curvature (low frequency) disturbance signal and w 2 is the (stochastic) lateral track position (high frequency) noise signal y o . The ....

Matlab LMI control toolbox, MathWorks Inc., 1994.

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MATLAB, Version 5.3, The MathWorks Inc. (1999).

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MATLAB Optimization Toolbox. MathWorks Inc.: Natick, MA, 2002.

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"Matlab Version 5", The Mathworks Inc., MA, U.S.A., 1996.

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Matlab reference Guide: "The Math Works Inc.", Natick, MA.

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MATLAB 6.1, The MathWorks Inc.

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MATLAB Application Program Interface Guide, Version 5. MathWorks Inc., 1998.

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Using MATLAB, Version 5. MathWorks Inc., 1996.

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MatLab Version 5. The Math Works Inc., Natick, MA 01760, USA. http://www.mathworks.com.

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Using Matlab, Version 5, The Math Works Inc., 1997.

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