One of the most important criteria for comparing equivalent circuit configurations and for establishing their practical utility in meeting desired requirements is sensitivity. In practice, real circuit components will deviate from their nominal design values due to manufacturing tolerances, environmental changes such as in temperature and humidity, and chemical changes which occur as the circuit ages. The cause-and-effect relationship between the circuit element variations and the resulting changes in the response or some other network function is referred to as sensitivity.

Chapter Contents:

• 3.1 Introduction
• 3.2 Single-Parameter Sensitivity Definitions
• 3.3 Multiparameter Sensitivity - Deterministic Case
• 3.4 Multiparameter Sensitivity - Statistical Case
• 3.5 Computation of Statistical Sensitivity Measures
• 3.6 Statistical Multiparameter Sensitivity of High-Q Active Filters
• 3.7 Large-Parameter-Change Statistical Sensitivity
• 3.8 Sensitivity Measures for High-Order Filters Realized as a Cascade of Biquadratic Sections
• 3.9 Sensitivity Measures for High-Order Filters Realized with Biquadratic Sections in a Follow-the-Leader (FLF} Multiple-Loop Feedback Configuration
• 3.10 Monte Carlo Simulation
• 3.11 Comparison of Monte Carlo and Approximate Sensitivity Analysis
• 3.12 Sensitivity Optimization
• References
• Problems

Inspec keywords: network synthesis; sensitivity analysis; equivalent circuits; cause-effect analysis

Other keywords: real circuit components; equivalent circuit configurations; cause-and-effect relationship; network function; nominal design values; circuit element variations

Subjects: General circuit analysis and synthesis methods