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Matrices and Vectors
Published in David E. Hiebeler, R and MATLAB®, 2018
In , you can use subscripting on expressions; e.g., to access the value in row 1, column 2 of the matrix returned by . In MATLAB, one way to do this is to use a temporary variable, e.g., . Another way to do it is with the help of the function, which is what handles array referencing: . This latter trick can be accomplished without use of a temporary variable by instead building a temporary structure using , .
Secure Cloud Query Processing Based on Access Control for Big Data Systems
Published in Bhavani Thuraisngham, Murat Kantarcioglu, Latifur Khan, Secure Data Science, 2022
Bhavani Thuraisngham, Murat Kantarcioglu, Latifur Khan
When a system administrator decides to add an AT to an agent's AT list, the AT and time stamp are first stored in a temporary variable. Before committing the change, the system must first detect potential conflicts in the new AT list.
Digital Simulation
Published in Luciano Lavagno, Igor L. Markov, Grant Martin, Louis K. Scheffer, Electronic Design Automation for IC System Design, Verification, and Testing, 2017
This would be represented by d = ~(c & b). In terms of our simulation loop, asynchronous logic functions have their outputs updated during the evaluation phase, not delayed until the update phase. That is, there is no temporary variable created to hold the new value.
Sampling-based self-triggered coordination control for multi-agent systems with application to distributed generators
Published in International Journal of Systems Science, 2018
Yuan Fan, Chengxiao Zhang, Cheng Song
To reduce the complexity in computation we replace solving the inequality (34) by checking the inequality condition at each future time step. This checking can be accomplished at DG i's local processor by the following procedures. When DG i initialises its variables as , , , where s and are variables defined in (29) and is a temporary variable for computing the solution of (34). For each s, the DG repeatedly computes and checks for each , until inequality (36) holds. The DG will record the result . When it receives a new measurement, the variables are updated as and (the number of time step when receiving the measurement). That is, always represents the time step when a new measurement from any neighbour is received by DG i. Reset and compute (35) and check (36) again.
Optimization of triple-ring electrodes on piezoceramic transducers using algorithmic differentiation
Published in Optimization Methods and Software, 2018
Benjamin Jurgelucks, Leander Claes, Andrea Walther, Bernd Henning
Type-insertion clearly results in a faster program code. The custom adouble data type has larger overhead compared to the double data type. If an adouble is used where it is not needed the resulting code will not run at the optimal speed. However, in large and complicated code bases it is usually very demanding to implement operator overloading based AD with type-insertion as the type change of interface parameters (i.e. type change in method signatures) will render the interface unusable (signature mismatch) without also adapting the callers interface parameters. In large and complicated code bases, this manual adaptation might be necessary for nearly every method, object property, temporary variable, etc.
Modeling and Compensation of Time-Delay Effects in HILS of Aerospace Systems
Published in IETE Technical Review, 2022
LAV Sanhith Rao, P. Sreehari Rao, I. M. Chhabra, L. Sobhan Kumar
The different delay compensation methods were explored thoroughly from the available literature. Based on the pros and cons of the methods, authors have chosen the Inverse compensation method proposed by Chen and Ricles [28] for delay compensation in aerospace HILS. The gist of inverse compensation method is given below. The compensated signal = α*present delayed signal – (α−1)*previous delayed signal;Where α = delay constant > 1.0; The value of α chosen is 16 based on the following calculationDelay = (α−1)δt; δt = sampling time; Since the delay is 15 ms and sampling time is 1 ms,α = 16 as per calculation; Hence, The implementation of inverse compensation i.e. equation (2) in NRT is given below. where fdeltaout [1] = simulated roll rate at present instance, fdeltaoutold = simulated roll rate at previous instance, Ps = compensated roll rate Yyy = temporary variable to update simulated roll rate