CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1 - Derive a Control Decomposition from the Whole Problem Type: Method pattern Status: Stable…
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CAD.1:12 - Relations
In CAD.1 - Derive a Control Decomposition from the Whole Problem
C.39 supplies the general construction of a way to obtain a result; CAD.1 supplies the control-specific decomposition. MMP.9 supplies model reduction. CAD.2 consumes the selected candidate and makes its exchanges operational. CAD.4 compares whole candidates,…
CAD.1:4 - Solution
In CAD.1 - Derive a Control Decomposition from the Whole Problem
… mismatch, supplied by a lower closed loop, or left as an unresolved limitation. The first candidate is complete enough to continue when every removed interaction has a proposed receiving treatment in CAD.2 or CAD.3. A treatment may fail; naming it does not…
CAD.1:9 - Consequences
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:9 - Consequences The result is a smaller set of explainable architecture candidates. Some apparently attractive splits will be rejected before controller tuning. The cost is retaining the original problem long enough to compare whole behavior instead of…
CAD.1:6 - Bias-Annotation
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:6 - Bias-Annotation Organizational hierarchies and biological analogies make layered pictures persuasive. They do not determine a control decomposition. The linear example favors a tractable model; nonlinear or partially observed plants can require a…
CAD.1:7 - Conformance Checklist
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:7 - Conformance Checklist The unsplit behavior, constraints, information and resource conditions are recoverable. Each separation has a decision-specific reason and a serious alternative. Removed interactions have explicit receiving treatments or remain…
CAD.1:10 - Architectural Rationale
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:10 - Architectural Rationale The method starts from coupled behavior because a decomposition is a change to that coupling. Introducing agreement before relaxing it makes the lost condition recoverable. This gives later error and feasibility work a…
CAD.1:2 - Problem
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:2 - Problem A hierarchy can divide a diagram while leaving the original difficulty untouched. A planner assumes commands can be realized, a tracker assumes commands change slowly, and neither assumption follows from the split. Conversely, trying to…
CAD.1:3 - Forces
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:3 - Forces Force Consequential tension Long-horizon choice and rapid correction A larger look-ahead can improve a plan while consuming time needed for reaction. Simplification and lost interaction An easier subproblem can omit actuator limits, memory…
CAD.1:1 - Problem frame
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:1 - Problem frame Use this when a control problem seems to call for different planning and reaction times, but “add a strategic, tactical and operational layer” does not tell you which decisions belong where. You may also have an inherited hierarchy…
CAD.1:5 - Archetypal Grounding
In CAD.1 - Derive a Control Decomposition from the Whole Problem
… the first assumes a jump can be tracked within the input limit; the second assumes a known continuous segment and a reliable clock. CAD.2 derives those consequences. Neither candidate has yet earned a safety claim. As a non-use case, suppose the only task is…
CAD.1:8 - Common Anti-Patterns and How to Avoid Them
In CAD.1 - Derive a Control Decomposition from the Whole Problem
CAD.1:8 - Common Anti-Patterns and How to Avoid Them “Slow is accurate; fast is inaccurate” merges optimization quality, model fidelity and tracking error. State the quantity and comparison. “Three layers are necessary” replaces construction with a diagram;…
CAD.1:11 - SoTA-Echoing
In CAD.1 - Derive a Control Decomposition from the Whole Problem
… Retain that alternative when changing costs, rather than preview-dependent motion, create the upper decision. The governor comparison in CAD.Reference:4.5.1 explains when the existing loop can remain. Reopen the split when measured computation, required…
CAD.1:4.5 - Preserve the whole question through the next design move
In CAD.1 - Derive a Control Decomposition from the Whole Problem
Pass each candidate's controlled behavior, separation reason and lost interactions to CAD.2. A command's type alone is insufficient: a target position, a timed trajectory and a velocity segment imply different lower-level problems. Keep candidates comparable…
CAD.1:4.1 - Formulate the unsplit question
In CAD.1 - Derive a Control Decomposition from the Whole Problem
… disturbance rejection but requested commands violate constraints, compare adding a reference or command governor before redesigning that loop. Use the joint plant-controller model, admissible initial conditions and qualified command-update rule described in…