andy
5a592c8c7c
Affected files: .obsidian/graph.json .obsidian/workspace-mobile.json .obsidian/workspace.json STEM/AI/Ethics.md STEM/AI/Neural Networks/Activation Functions.md STEM/AI/Neural Networks/CNN/CNN.md STEM/AI/Neural Networks/Deep Learning.md STEM/AI/Neural Networks/MLP/Back-Propagation.md STEM/AI/Neural Networks/MLP/MLP.md STEM/AI/Neural Networks/Neural Networks.md STEM/AI/Neural Networks/Properties+Capabilities.md STEM/AI/Neural Networks/RNN/LSTM.md STEM/AI/Neural Networks/RNN/RNN.md STEM/AI/Neural Networks/RNN/VQA.md STEM/AI/Neural Networks/SLP/SLP.md STEM/AI/Neural Networks/Training.md STEM/AI/Neural Networks/Transformers/Attention.md STEM/AI/Neural Networks/Transformers/LLM.md STEM/AI/Neural Networks/Transformers/Transformers.md STEM/Signal Proc/System Classes.md STEM/img/back-prop-equations.png STEM/img/back-prop-weight-changes.png STEM/img/back-prop1.png STEM/img/back-prop2.png STEM/img/cnn+lstm.png STEM/img/deep-digit-classification.png STEM/img/deep-loss-function.png STEM/img/llm-family-tree.png STEM/img/lstm-slp.png STEM/img/lstm.png STEM/img/matrix-dot-product.png STEM/img/ml-dl.png STEM/img/photo-tensor.png STEM/img/relu.png STEM/img/rnn-input.png STEM/img/rnn-recurrence.png STEM/img/slp-arch.png STEM/img/threshold-activation.png STEM/img/transformer-arch.png STEM/img/vqa-block.png
1.1 KiB
1.1 KiB
Dynamic vs Algebraic
- Dynamic system has "memory", output depends on present and past
- Includes diff and/or integral operators with initial conditions
- Cap and or inducer
- Algebraic
- No calculus operators
- Output depends only on input
Time Invariant vs Time-Varying
Continuous vs Discrete time
Linear vs Non-Linear
Deterministic vs Stochastic
- Deterministic
- Output fully determined by parameter inputs
- Stochastic
- Include randomness
- Noise/Disturbance
- Same inputs can lead to different outputs
- Include randomness
Lumped vs Distributed parameters
- Lumped
- Only one independent variable (time
t) - Typical for electrical systems
x(t)- Ordinary differential equations
- Only one independent variable (time
- Distributed
- Several independent variables
- time, pressure, temperature
- Typical for chemical processes and process control
-
x(t, P, T) - Differential partial equations
- Several independent variables
Causal vs Non-Causal
- Causal
- Output depends only on current and past values
- Non-Causal
- Output depends on future inputs
SISO vs MIMO
- Single Input/Single Output
- Multiple Input/Multiple Output