P. Maulik, R. Carley, R. Rutenbar, A Mixed-Integer Nonlinear Programming Approach to Analog Circuit Synthesis, Proceedings of the 29th ACM/IEEE Design Automation Conference, 1992, pp.698-703.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....optimization algorithms have been used, ranging from steepest descent with a single lumped cost function to nonlinear constrained optimization to simulated annealing. Besides simple device sizing, there have also been efforts to incorporate topology selection within the optimization algorithm [MAUL92b,HARV92] Several factors affect the choice of the optimization algorithm, including the design estimation time and the existence of local minima in the solution, In all cases the optimization algorithm is used as a dumb numerical technique which attempts to find an optimal solution. BRAY81, ....

P.C. Maulik, L. R. Carly, and R. A. Rutenbar, "A Mixed-Integer Nonlinear Programming Approach to Analog Circuit Synthesis." Proc. ACM/IEEE Design Automation Conference, June, 1992, pp. 698-703. [Mixed integer optimization allows some circuit selection, as well as device sizing, by attaching integer values to selected circuit topology.]

....There are two aspects to the constraint transformation problem: Constraint Model Generation, where a model relating the design performance parameters is generated and Constraint Allocation, where actual values are assigned to these parameters. Although the latter problem has been addressed by many [7, 10], there have been very few methods that perform the entire process. Arsintescu et al. [3] address the problem of AC constraint transformation for a class of linear continuous time circuits using hierarchical parameter modeling and constrained optimization techniques. However in [3] the problem of ....

....and Leenaerts [6] present an operational amplifier synthesis tool that does simultaneous topology selection and circuit sizing using genetic algorithms. Maulik et al. present a method to handle simultaneous topology selection and circuit sizing using a mixed integer non linear programming method [7]. All these approaches attempt to find point values (not ranges) for the design parameters which is equivalent to computing a single point in the parameter space of the system that meets the constraints. Leenaerts in [16] presents a circuit synthesis technique based on interval analysis. A ....

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P.C. Maulik, L.R. Carley, and R.A. Rutenbar, "A Mixed-Integer Non-linear programming approach to analog circuit synthesis", Proc 29th DAC, 1992.

....Model Generation, which is the task of generating a model that relates the design performance parameters at different levels of abstraction. Delta Constraint Allocation, where actual values are assigned to the parameters. Although the problem of constraint allocation has been addressed by many [7, 10], there have been very few methods that perform the entire constraint transformation process. Recently, Arsintescu et al. [3] proposed to address the problem of AC constraint transformation for a class of linear continuous time circuits using hierarchical parameter modeling and constrained ....

....and Leenaerts [6] present an operational amplifier synthesis tool that does simultaneous topology selection and circuit sizing using genetic algorithms. Maulik et al. present a method to handle simultaneous topology selection and circuit sizing using a mixed integer non linear programming method [7]. All these approaches attempt to find point values (not ranges) for the design parameters which is equivalent to computing a single point in the parameter space of the system that meets the constraints. We present a method for performing automatic constraint transformation, during which we ....

P.C. Maulik, L.R. Carley, and R.A. Rutenbar, "A Mixed-Integer Non-linear programming approach to analog circuit synthesis", Proc 29th Design Automation Conference, 1992.

....There are two important aspects to this problem: Constraint Model Generation, which is the task of generating a model that relates the design performance parameters at the different levels, and Constraint Allocation, where actual values are assigned to the parameters. Most of the existing methods [3, 7, 6, 9] address either model generation or allocation. To the best of our knowledge none of them take into account the problem of parameter space exploration. All these approaches attempt to find point values (not ranges) for the design parameters which is equivalent to computing a single point in the ....

P.C. Maulik, L.R. Carley, and R.A. Rutenbar, "A Mixed-Integer Non-linear programming approach to analog circuit synthesis", Proc 29th Design Automation Conference, 1992.

....the user to certain specialized types of circuits; or are otherwise highly constrained. Examples include IDAC (Degrauwe 1987) OASYS (Harjani, Rutenbar, and Carley 1989) OPASYN (Koh, Sequin, and Gray 1990) SEAS (Ning, Kole, Mouthaan, and Wallings 1992) the expert design knowledge system of Maulik, Carley, and Rutenbar (1992); the works of Hemmi, Mizoguchi, and Shimohara (1994) Mizoguchi, Hemmi, and Shimohara 1994; and Higuchi et al. 1993) the C T filter design tool of Nielsen (1995) and DARWIN (Kruiskamp and Leenaerts 1995) In DARWIN, circuit topologies are limited to a preestablished hand designed set of 24 ....

Maulik, P. C. Carley, L. R., and Rutenbar, R. A. 1992. A mixed-integer nonlinear programming approach to analog circuit synthesis. Proceedings of the 29th Design Automation Conference. Los Alamitos, CA: IEEE Press.

....other heuristic rules and the process continues. The success of these systems depends on the effectiveness of the knowledge base of heuristic rules. In SEAS (Ning, Kole, Mouthaan, and Wallings 1992) evolution is used to modify the topology and simulated annealing is used to size the circuit. Maulik, Carley, and Rutenbar (1992) attempt to handle topology selection and circuit sizing simultaneously using expert design knowledge. Higuchi et al. 1993) have employed genetic methods to the design of digital circuits using a hardware description language (HDL) In DARWIN (Kruiskamp and Leenaerts 1995) opamp circuits are ....

Maulik, P. C. Carley, L. R., and Rutenbar, R. A. 1992. A mixed-integer nonlinear programming approach to analog circuit synthesis. Proceedings of the 29th Design Automation Conference. Los Alamitos, CA: I1 Press, Pages 698--703.

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P. Maulik, R. Carley, R. Rutenbar, A Mixed-Integer Nonlinear Programming Approach to Analog Circuit Synthesis, Proceedings of the 29th ACM/IEEE Design Automation Conference, 1992, pp.698-703.

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P. Maulik, R. Carley, R. Rutenbar, "A Mixed-Integer Nonlinear Programming Approach to Analog Circuit Synthesis", Proc. of the Design Automation Conference, 1992, pp.698-703.

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P. Maulik, R. Carley, R. Rutenbar, "A Mixed-Integer Nonlinear Programming Approach to Analog Circuit Synthesis", Proc. of DAC, 1992, pp.698-703.

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P.C. Maulik, L.R.Carley, R.A. Rutenbar, "A Mixed-Integer Non Linear Programming Approach to Analog Circuit Synthesis", 29 th Design Automation Conference, 1992.

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