The following discrete-time equations result from the numerical integration of the differential equations of an un-damped simple harmonic oscillator with state variables x and y. the integration time step is h.
For this discrete-time system, which one of the following statements is TRUE?
- AThe system is not stable for
- BThe system is stable for
- CThe system is not stable for
- DThe system is not stable for
Solution & Step-by-step Explanation
Discrete-Time Oscillator Stability Analysis
This problem involves analyzing the stability of a discrete-time system that results from numerically integrating the equations of motion for an undamped simple harmonic oscillator. The integration uses a time step denoted by , and the system's state is described by variables and .
Understanding the Discrete-Time Equations
The differential equations of an undamped simple harmonic oscillator are typically and . The discrete-time equations provided are derived using a numerical integration method (specifically, the forward Euler method):
-
-
These can be rewritten to express the state at the next time step () in terms of the current state ():
-
-
Matrix Representation of the System
The system dynamics can be conveniently represented in matrix form. Let the state vector at time step be . The system equations become:
The matrix is known as the state transition matrix.
Stability Criterion for Discrete Systems
A fundamental concept in analyzing the stability of discrete-time linear time-invariant (LTI) systems is the eigenvalues of the state transition matrix . For a system described by , the system is stable if and only if the magnitude of all its eigenvalues () is strictly less than 1 ().
Calculating the Eigenvalues
The eigenvalues are found by solving the characteristic equation , where is the identity matrix.
Calculating the determinant:
This simplifies to:
Solving for :
Thus, the eigenvalues are . The two eigenvalues are and .
Analyzing Eigenvalue Magnitudes for Stability
To determine stability, we examine the magnitude of these eigenvalues:
The condition for stability is . Applying this to our eigenvalues:
Squaring both sides yields:
Subtracting 1 from both sides gives:
Since represents a time step, it must be a real number. The square of any non-zero real number () is always positive (). Therefore, the condition cannot be satisfied for any real . This implies that the magnitude of the eigenvalues, , is always greater than 1 for any .
Evaluating the Statements
Our analysis shows that the system is unstable for all positive time steps because the stability condition is never met.
Let's consider the options:
- The system is not stable for . (This aligns with our findings.)
- The system is stable for . (This is incorrect.)
- The system is not stable for . (The notation is ambiguous, but even if interpreted as instability in this range, it's incomplete as instability occurs for all .)
- The system is not stable for . (Similar to the previous point, this is incomplete.)
The analysis confirms that the discrete-time system is unstable whenever the time step is positive.
This problem involves analyzing the stability of a discrete-time system that results from numerically integrating the equations of motion for an undamped simple harmonic oscillator. The integration uses a time step denoted by , and the system's state is described by variables and .
Understanding the Discrete-Time Equations
The differential equations of an undamped simple harmonic oscillator are typically and . The discrete-time equations provided are derived using a numerical integration method (specifically, the forward Euler method):
-
-
These can be rewritten to express the state at the next time step () in terms of the current state ():
-
-
Matrix Representation of the System
The system dynamics can be conveniently represented in matrix form. Let the state vector at time step be . The system equations become:
The matrix is known as the state transition matrix.
Stability Criterion for Discrete Systems
A fundamental concept in analyzing the stability of discrete-time linear time-invariant (LTI) systems is the eigenvalues of the state transition matrix . For a system described by , the system is stable if and only if the magnitude of all its eigenvalues () is strictly less than 1 ().
Calculating the Eigenvalues
The eigenvalues are found by solving the characteristic equation , where is the identity matrix.
Calculating the determinant:
This simplifies to:
Solving for :
Thus, the eigenvalues are . The two eigenvalues are and .
Analyzing Eigenvalue Magnitudes for Stability
To determine stability, we examine the magnitude of these eigenvalues:
The condition for stability is . Applying this to our eigenvalues:
Squaring both sides yields:
Subtracting 1 from both sides gives:
Since represents a time step, it must be a real number. The square of any non-zero real number () is always positive (). Therefore, the condition cannot be satisfied for any real . This implies that the magnitude of the eigenvalues, , is always greater than 1 for any .
Evaluating the Statements
Our analysis shows that the system is unstable for all positive time steps because the stability condition is never met.
Let's consider the options:
- The system is not stable for . (This aligns with our findings.)
- The system is stable for . (This is incorrect.)
- The system is not stable for . (The notation is ambiguous, but even if interpreted as instability in this range, it's incomplete as instability occurs for all .)
- The system is not stable for . (Similar to the previous point, this is incomplete.)
The analysis confirms that the discrete-time system is unstable whenever the time step is positive.