Philosophy, Role and Terminology of System Science: History of System Science
General Topology and Terminology of Systems
Three Problems Development of Model Structure: Variables and their Classification
Relationship between Variables
Structural (Black Box) Model
Refinement in Structural Models
Specification of Component Behavior: Algebraic Form
Use of Matrix Algebra in Principal Component Analysis
Use of Matrix Algebra in Linear Programming for Optimization of the System
Use of Matrix Algebra for Distance Measurements
Integral-Differential Form
Parameter Estimation
Non-statistical Procedure for Estimating the Parameters (Physical Approach)
Computer Implementation: Model Software Requirement
Generalized Model
Software Specification
Data Systems
Model Testing and Validation: Sensitivity Analysis
Stability Analysis
Validation
Biological Application of Models: Prey-Predator System
Plant Competition Studies
Environmental Management
Appendix: A. Exercises on Modeling Crop Production Systems
B. Discussion and Solutions of Exercises
Biography
P Singh
