Matlab Control Optimization
MATLAB R2026a workflow for control systems, system identification, robust control, MPC, Simulink Control Design, parameter tuning, constrained optimization, and numerical validation. Use whenever the user asks for controllers, transfer functions, state-space models, tuning, identification, optimal control, or solver-based engineering.
Install
$ agentstack add skill-wzyn20051216-matlab-agent-skills-matlab-control-optimization ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
MATLAB Control Optimization
Use this skill for control design and optimization workflows.
Workflow
- Define plant model, units, sample time, constraints, and performance goals.
- Confirm required products: Control System Toolbox, System Identification Toolbox, Optimization Toolbox, Robust Control Toolbox, or MPC Toolbox.
- Build an executable baseline model.
- Tune or optimize with explicit objective and constraints.
- Validate time-domain, frequency-domain, and robustness behavior when applicable.
- Save plots, tuned parameters, and numerical metrics.
Preferred APIs
tf,ss,zpk,c2d,d2cstep,lsim,bode,margin,bandwidthpidtune,systune,hinfsyn,musynwhen licensediddata,tfest,ssest,compareoptimproblem,fmincon,lsqnonlin,ga,particleswarm
Validation Metrics
Use checks such as:
- Rise time, settling time, overshoot.
- Gain margin, phase margin, bandwidth.
- Constraint violation count.
- Objective value and solver exit flag.
- Identification fit percentage on held-out data.
Risk Checklist
Watch for:
- Continuous/discrete sample-time mismatch.
- Unscaled optimization variables.
- Local minima and solver sensitivity.
- Hidden actuator saturation.
- Controller instability outside nominal operating points.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: wzyn20051216
- Source: wzyn20051216/matlab-agent-skills
- License: MIT
- Homepage: https://github.com/wzyn20051216/matlab-agent-skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.