Tunable parameters are configurable settings in software, models (like Simulink), or operating systems that can be adjusted without recompiling the entire system, allowing for real-time changes, performance optimization, or adaptation to different conditions, often used in control systems, embedded applications, and system administration. They act as variables that control behavior, such as gain in a controller or memory allocation in a kernel, enabling dynamic tuning during simulation or execution for better results, like maximizing efficiency or achieving optimal performance.
In Modeling & Simulation (e.g., Simulink)
- Definition: Variables within a model (block parameters or workspace variables) that can be changed while the simulation is running.
- Purpose: To experiment with different values (e.g., tuning a PID controller) to find optimal settings and observe real-time effects.
- Types:
- Block Parameters: Values inside a specific block (e.g., Amplitude in a Signal Generator).
- Global Parameters: Variables defined in the workspace (MATLAB or Model).
- How they’re used: Adjusted via interfaces like Dashboard blocks, the Property Inspector, or the Model Data Editor.
In Code Generation & Embedded Systems
- Definition: Parameters in generated code (like C/C++) that are stored in memory and can be modified at runtime, often by an external tool or unit.
- Purpose: To calibrate algorithms for different hardware or environments (e.g., adjusting engine parameters for different car models).
- Creation: Declared using specific configuration settings in development tools.
In Operating Systems (e.g., AIX)
- Definition: Kernel, network, or environment variables that control system behavior and performance.
- Purpose: Fine-tuning the OS for specific workloads, from I/O handling to memory management.
- Examples: Scheduler tunables, VMM (Virtual Memory Manager) parameters, network options.
Key Characteristics
- Dynamic: Can be changed without code recompilation.
- Calibration: Essential for finding optimal settings.
- Context-Specific: Tunable parameters exist across various domains, from software models to system kernels, serving similar goals of flexibility and optimization.
Create Tunable Calibration Parameter in the Generated Code
A calibration parameter is a value stored in global memory that an algorithm reads for use in calculations
Tunable Block Parameters and Tunable Global Parameters
A block parameter is a constant expression that one references in a Simulink block dialog box or by using the MATLAB API. – MathWorks