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Chapter 2 Systems Defined by Differential or Difference Equations
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Consider the CT SISO system described by Linear I/O Differential Equations with Constant Coefficients System
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In order to solve the previous equation for, we have to know the N initial conditions Initial Conditions
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If the M-th derivative of the input x(t) contains an impulse or a derivative of an impulse, the N initial conditions must be taken at time, i.e., Initial Conditions – Cont’d
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Consider the following differential equation: Its solution is First-Order Case or if the initial time is taken to be
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Consider the equation: Define Differentiating this equation, we obtain Generalization of the First-Order Case
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Generalization of the First-Order Case – Cont’d
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Solving for it is which, plugged into, yields Generalization of the First-Order Case – Cont’d
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If the solution of then the solution of is
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System Modeling – Electrical Circuits resistor capacitor inductor
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Example: Bridged-T Circuit loop (or mesh) equations Kirchhoff’s voltage law
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Mechanical Systems Newton’s second Law of MotionNewton’s second Law of Motion: Viscous frictionViscous friction: Elastic force:Elastic force:
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Example: Automobile Suspension System
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Rotational Mechanical Systems Inertia torqueInertia torque: Damping torque:Damping torque: Spring torque:Spring torque:
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Consider the DT SISO system described by Linear I/O Difference Equation With Constant Coefficients System N is the order or dimension of the system
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Solution by Recursion Unlike linear I/O differential equations, linear I/O difference equations can be solved by direct numerical procedure (N-th order recursion) recursive DT systemrecursive digital filter (recursive DT system or recursive digital filter)
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The solution by recursion for requires the knowledge of the N initial conditions and of the M initial input values Solution by Recursion – Cont’d
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Like the solution of a constant-coefficient differential equation, the solution of can be obtained analytically in a closed form and expressed as Solution method presented in ECE 464/564 Analytical Solution (total response = zero-input response + zero-state response)
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