MATHEMATICAL MODELLING AND SYSTEM ANALYSIS

2 students
Brief Introduction of Course:

This course introduces a mathematical applications to obtain a decision tools for different agricultural cropping systems and Machineries in agriculture.

Objectives:

The learner’s perception and historic practices can be tabulated or incorporated to make an advancement

Unit I: Mathematical Modelling: Introduction to modelling and simulation, Classification of systems into continuous and discrete, Structural characterization of mathematical model and validationtechniques

Unit II: Modelling Techniques: Dimensional analysis: Concept behind dimensional approach, Buckingham Pi theorem, Models using dimensional approach – Continuous approach: Models based on physical laws

Unit III: Discrete Approach: Models based on discrete approach. Prey – Predator models – Combat Modelling: Modelling the Lanchester laws with System Dynamics –

Unit IV: System Analysis: The state of a system, mathematical models of continuous linear lumped parameter, time invariant systems, Discrete time systems, Linear approximation of non-linear systems, Topological models of system, Block diagram representation, Signal flow graph, and Mason ‘s rule. A generalized approach to modelling.Principles of conservation and continuity and Applications.Basics of simulatortechnology.

Outcome: The mathematical modelling in agricultural robotics, drones and AGVs is an outcome from course learner .It is expected to develop a case studies and applications oriented IOT tools for digital information system applications particularly extended ability in developing a crop based calculative, modelling.

Curriculum is empty

Instructor

Master in Agriculture sciences having India and abroad working experince in Horticulture industry.

0.0
0 total
5
0
4
0
3
0
2
0
1
0
Free

Leave a Reply

Your email address will not be published. Required fields are marked *