The Drifter Manifesto — Series Index

The Drifter Manifesto - An editorial theory series on control-affine systems in biomechanics

The Drifter Manifesto

The Drifter Manifesto is the orientation series for AffineDrift's control-affine treatment of biomechanical motion. Read it as a research program with explicit provenance: established nonlinear-control mathematics first, then AffineDrift's proposed counterfactual diagnostics, then golf-specific modeling hypotheses that still require parameter identification and experimental replication.

State: Opinion and Experimental Research Program

The standard control mathematics is available from the cited sources. The golf-specific diagnostics and interpretations remain model-conditioned unless a linked technical page supplies stronger evidence.

Provenance: The smooth control-affine form \(\dot{x}=f(x)+G(x)u\) and drift vector fields are established nonlinear-control tools (Isidori 1995; Bullo and Lewis 2004). ZTCF family, ZVCF, and the weighted drift-control ratio \(\mathrm{DCR}_{W}\) are AffineDrift diagnostics layered on that foundation. Treat golf-specific ratios and phase labels as model-dependent claims, not peer-reviewed invariants. See Critiques & Responses for documented limitations.

Notation baseline: The series uses \(x=(q,\dot{q})\), \(f(x)\) for unforced smooth dynamics, \(G(x)u\) for actuated generalized forces, and \(\mathrm{DCR}_{W}\) only after stating the norm, weighting matrix, torque bound, and model parameters. Counterfactual simulations are valid only within the assumptions stated in each article. Impacts, switching contact, and tissue deformation require separate hybrid or compliant models.

Evidence standard: Treat each ratio, phase label, and counterfactual conclusion as a modeling claim until the source gives the model, parameter values, sensitivity check, and data source. The manifesto states the research program; it does not by itself establish a clinical, coaching, or universal biomechanical rule.

Publication use: Use the manifesto as an editorial map, not as a substitute for the technical sources. A claim is ready for stronger public wording only when the corresponding article identifies the coordinate convention, actuator model, contact assumptions, validation data, uncertainty or sensitivity analysis, and whether the key quantity was directly measured or inferred from a model.

Citation practice: Cite the manifesto for editorial orientation only. Scientific claims repeated from it should also cite the underlying AffineDrift article or external source that carries the derivation, data, or experiment, and should state whether the claim is analytical, simulated, or experimentally supported.

Source map: For affine notation and drift/input separation, start with Theory Part 1 and Theory Part 2. For DCR interpretation, compare the DCR article with the critique index. For inverse-dynamics and observability limits, read Inverse Dynamics, Zero Torque Counterfactual, and ZTCF Identifiability before treating a manifesto claim as evidence.

Claim-to-source matrix:

Claim family	Primary source	Editorial burden
Control-affine form and drift/input split	Theory Part 1; Theory Part 2	State the coordinates, actuator convention, and whether contact or impact terms have been excluded.
DCR and phase labels	DCR article; critique index	Declare the norm, weighting matrix, torque bound, parameter set, and sensitivity check before using strong wording.
Trajectory, funnel, and accessibility claims	Control Is Motion	State whether the statement is a local accessibility result, a closed-loop funnel certificate, or heuristic path-shaping language; do not present one as proof of the others.
Counterfactual claims such as ZTCF or ZVCF	Zero Torque Counterfactual; ZTCF Identifiability	Separate forward simulation results from measured muscle recruitment, coaching interpretation, and clinical claims.
Inverse dynamics and hidden loads	Inverse Dynamics; Inverse Dynamics Inference	Identify which quantities are observed, model-conditioned, optimized, or unidentifiable without extra instrumentation.
Passive-control, sequencing, and ground-reaction claims	Passive Distributed Control; Biomechanics - Biology to Systems	Separate passive tissue response, reflex or local feedback, measured external forces, and coaching interpretation before claiming that a swing is self-organizing or GRF-driven.

Theory Part 1 — State definition and affine derivation

Establishes the multibody coordinates, derives the control-affine structure, and sets the notation used in every subsequent article.

Theory Part 2 — Drift/input decomposition, ZTCF, ZVCF

Defines model-conditioned zero-input and zero-velocity interventions. These simulations do not uniquely separate passive dynamics from deliberate muscular torque or identify neural intent.

Theory Part 3 — Drift invariance and taxonomy

Examines transformation conditions, introduces a force taxonomy, and discusses limitations of the affine assumption; any invariance claim is limited to its declared coordinates and transformation class.

Theory Part 4 — Modal Approximation, Wrenches, and Pendulum Dynamics

Collects derivations, modal approximations, and pendulum examples that support the main theory.

Theory Part 5 — Simulink Model Documentation

Documents the Simulink implementation, numerical routines, and supporting technical notes.

Single-File Edition

The entire manifesto on one page, for offline reading or printing. The Part 1–5 series above is the maintained canonical version.