Topic · 01
Control Systems
PID, state-space, frequency domain, stability — the math that keeps things in line.
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May 19, 2026ControlA seven-act visual walkthrough of multi-agent control — from the simplest consensus problem (six agents averaging with their neighbors) to fully-heterogeneous containment, where...
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May 18, 2026ControlNearly every dynamical system worth controlling is nonlinear. Nearly every tool we have — stability proofs, frequency analysis, MPC — is built for linear systems. Bernard Koopma...
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May 17, 2026ControlContinuous-time control theory is taught in s-domain. Real control runs at a fixed sample rate on a microcontroller, in z-domain, with finite numerical precision and a one-sampl...
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May 15, 2026ControlA fixed-gain controller is a promise that the plant you tuned against is the plant you'll meet in the field. When that promise breaks — drift, wear, operating-point change, unit...
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May 13, 2026ControlOptimal control gets taught as proofs and Riccati equations; in practice it lives or dies on tuning, discretization, conditioning, and whether your solver finishes in the sample...
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May 3, 2026ControlA field manual on twelve practical techniques most control textbooks under-treat: Smith predictors, 2-DOF PID, anti-windup, feedforward, derivative filtering, cascade, gain sche...
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May 1, 2026ControlAn interactive notebook on the structural properties of linear state-space systems — controllability, observability, the Kalman decomposition, Luenberger observers, and Kalman f...
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Apr 30, 2026ControlAn interactive tour of classical compensator design. Pick a controller (P / PI / PD / PID / lead / lag / lead-lag), pick a plant, drag the parameters, and watch the Bode plot an...
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Apr 27, 2026ControlAn interactive primer on system identification — the practical art of getting a working model of a real plant. Step tests, PRBS, transfer-function and state-space fitting, valid...
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Apr 26, 2026ControlTen ideas that turn up almost every time a real controller meets a real plant — feedforward, time delay, Padé approximants, non-minimum phase, gain scheduling, the step response...
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Apr 25, 2026ControlA field guide to filters — what they are, why classical electrical engineering spent decades designing them, and the seven chapters that take you from RC pairs through the bilin...
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Apr 24, 2026ControlAn interactive primer on automotive diagnostics — UDS, the DTC structure, OBD, sessions and security, and what changes for the electrified powertrain. The protocol underneath ev...
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Apr 21, 2026ControlMonograph No. 4 of the diagnostics series. The gap between textbook FDI and deployed FDI — domain shift, certification, edge-deployment, fleet-scale digital twins, unlabeled ano...
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Apr 17, 2026ControlMonograph No. 3 of the diagnostics series. Remaining Useful Life, degradation modeling, health indicators, the uncertainty question, and the maintenance scheduling that uses all...
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Apr 15, 2026ControlMonograph No. 2 of the diagnostics series. Passive vs active fault-tolerant control, reference governors, graceful degradation, and the stability question during the transition ...
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Apr 13, 2026ControlMonograph No. 1 of a four-part series on diagnostics and fault-handling. The classical model-based methods (observers, parity, Kalman), the data-driven methods (residuals, class...
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Apr 9, 2026ControlAn interactive primer on RUL prediction — four algorithm families compared on the same problem. Similarity matching against historical trajectories, ML regression on time-window...
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Apr 3, 2026ControlAn interactive primer on the three classical tools of diagnostic reasoning — fault tree analysis, Bayesian network inference, and ranked hypotheses with priors. Three live figur...