Analytic Optimal Control for a Class of Driftless x-Flat Systems
Pith reviewed 2026-05-13 21:10 UTC · model grok-4.3
The pith
Closed-form costate expressions and explicit feedback laws are derived for optimal trajectory tracking in driftless x-flat systems.
A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.
Core claim
For driftless x-flat systems with three states and two inputs, a quadratic Bolza tracking cost produces a mixed regular-singular optimal control problem whose solution is available in closed form once a particular relation holds between the weighting matrices. Pontryagin's principle then supplies an explicit costate and direct feedback laws for both controls, eliminating the two-point boundary-value problem. The singular input segment has a bang-singular-bang structure, and the tracking-error dynamics reduce to linear dynamics of order two on that arc.
What carries the argument
The specific algebraic relation imposed on the weighting matrices of the quadratic cost that, together with the geometric properties of x-flatness, produces the closed-form costate and input feedback.
If this is right
- Numerical solution of the two-point boundary-value problem is avoided entirely.
- The optimal control takes a bang-singular-bang structure with an explicit singular arc.
- Tracking-error dynamics reduce exactly to linear second-order dynamics on the singular arc.
- The explicit feedback laws enable direct implementation without iterative solvers.
- The method produces accurate trajectory tracking on the kinematic model of a steerable axle.
Where Pith is reading between the lines
- The same matrix-relation technique may yield analytic solutions for other underactuated flat systems when the cost is chosen to satisfy the required algebraic condition.
- Real-time implementation becomes feasible because no online boundary-value solver is required.
- The reduction to linear error dynamics on the singular arc suggests that certain nonlinear tracking problems can be linearized exactly under optimal control.
Load-bearing premise
A particular relation must hold between the weighting matrices in the quadratic cost.
What would settle it
Solve the same tracking problem by standard numerical two-point boundary-value methods and compare the resulting state and control trajectories against the closed-form expressions; mismatch would refute the derivation.
Figures
read the original abstract
This paper studies optimal trajectory-tracking for driftless, x-flat nonlinear systems with three states and two inputs. The tracking problem is formulated in Bolza form with a quadratic cost of the tracking error and its derivative. Applying Pontryagin's maximum principle yields a mixed regular-singular optimal control problem. By exploiting geometric properties and a specific relation between the weighting matrices, a closed-form expression for the costate and an explicit feedback law for both inputs is derived. Thereby, the numerical solution of a two-point boundary-value problem is avoided. The singular input leads to a bang-singular-bang optimal control structure, while on the singular arc, the tracking error dynamics reduces to a linear dynamics of order two. The approach is illustrated for the kinematic model of a steerable axle, demonstrating accurate trajectory-tracking.
Editorial analysis
A structured set of objections, weighed in public.
Referee Report
Summary. The manuscript claims that for driftless x-flat nonlinear systems with three states and two inputs, the optimal trajectory-tracking problem in Bolza form with quadratic costs on the tracking error and its derivative admits an analytic solution: Pontryagin's maximum principle yields a mixed regular-singular problem whose costate admits a closed-form expression and whose inputs admit explicit feedback laws once a specific algebraic relation is imposed on the weighting matrices. This relation decouples the costate dynamics, produces a bang-singular-bang control structure, and reduces the tracking-error dynamics on the singular arc to a linear second-order system, thereby eliminating the need to solve a two-point boundary-value problem numerically. The result is illustrated on the kinematic model of a steerable axle.
Significance. If the required relation between the weighting matrices can be satisfied for a sufficiently broad subclass of positive-definite pairs without further restricting the system class, the work supplies a rare explicit solution for a family of nonlinear optimal-control problems that ordinarily demand numerical TPBVP solvers. The explicit bang-singular-bang structure and the reduction to linear error dynamics on the singular arc constitute concrete, verifiable advances for real-time implementation in flat systems such as mobile robots.
major comments (2)
- [§3] The derivation of the closed-form costate (invoked after Eq. (12) in §3) rests on an algebraic relation imposed between the weighting matrices Q and R. The manuscript does not state whether this relation is satisfiable for arbitrary positive-definite Q and R or only after a coordinate transformation that itself depends on the driftless vector fields; without such a characterization the claimed generality for the entire class of driftless x-flat systems is not established.
- [§5] In the steerable-axle example (§5), the specific matrices chosen to satisfy the relation are not compared against the general case, so it remains unclear whether the analytic feedback law extends beyond this particular system or requires a problem-dependent redefinition of the cost that would undermine the parameter-free claim.
minor comments (2)
- Notation for the singular-arc interval boundaries is introduced without an accompanying diagram or explicit interval definitions, making the bang-singular-bang description harder to follow.
- The abstract states that the tracking-error dynamics reduces to 'a linear dynamics of order two' but does not preview the explicit second-order ODE; adding this equation would improve readability.
Simulated Author's Rebuttal
We thank the referee for the careful reading and constructive comments on our manuscript. We address the two major comments point by point below and indicate the revisions we will make.
read point-by-point responses
-
Referee: [§3] The derivation of the closed-form costate (invoked after Eq. (12) in §3) rests on an algebraic relation imposed between the weighting matrices Q and R. The manuscript does not state whether this relation is satisfiable for arbitrary positive-definite Q and R or only after a coordinate transformation that itself depends on the driftless vector fields; without such a characterization the claimed generality for the entire class of driftless x-flat systems is not established.
Authors: The algebraic relation is imposed directly on the entries of the weighting matrices Q and R in the original coordinates; no coordinate transformation depending on the driftless vector fields is required. The relation is a restriction on the admissible cost matrices rather than on the system class itself. For any driftless x-flat system with three states and two inputs, positive-definite matrices Q and R satisfying the relation can be selected (for instance by solving the resulting algebraic constraints while preserving definiteness), yielding the closed-form costate and explicit feedback. We will revise the text after Eq. (12) and add a remark in §3 that explicitly states this characterization and the conditions under which the relation holds. revision: yes
-
Referee: [§5] In the steerable-axle example (§5), the specific matrices chosen to satisfy the relation are not compared against the general case, so it remains unclear whether the analytic feedback law extends beyond this particular system or requires a problem-dependent redefinition of the cost that would undermine the parameter-free claim.
Authors: The feedback law is derived in general form for the entire class under the stated algebraic relation on Q and R; the steerable-axle example merely instantiates the law with matrices that satisfy the relation for that system. The cost is not redefined in a problem-dependent manner beyond the choice of Q and R that meet the relation, which is part of the problem formulation. To clarify, we will add a short paragraph in §5 that compares the chosen matrices to a generic positive-definite pair satisfying the relation and reiterates that the explicit law remains valid for any system in the class once the relation holds. revision: partial
Circularity Check
No significant circularity; derivation self-contained under explicit assumption
full rationale
The paper applies Pontryagin's maximum principle to a Bolza-form tracking problem on driftless x-flat systems, then invokes a posited relation between the quadratic weighting matrices Q and R to decouple the costate equations and obtain closed-form expressions. This relation is introduced as an enabling assumption rather than derived from the final result, and the geometric flatness properties are taken from the system class definition. No parameters are fitted to outputs, no self-citations carry the central claim, and the bang-singular-bang structure follows directly from the PMP analysis under the stated relation. The derivation therefore does not reduce to its own inputs by construction.
Axiom & Free-Parameter Ledger
axioms (1)
- standard math Pontryagin's maximum principle applies to the Bolza-form tracking problem
Reference graph
Works this paper leans on
- [1]
-
[2]
L ¨ober,Optimal Trajectory Tracking of Nonlinear Dynamical Sys- tems, ser
J. L ¨ober,Optimal Trajectory Tracking of Nonlinear Dynamical Sys- tems, ser. Springer Theses. Springer International Publishing, 2017
work page 2017
-
[3]
Bryson,Applied Optimal Control: Optimization, Estimation and Control, ser
A. Bryson,Applied Optimal Control: Optimization, Estimation and Control, ser. Halsted Press book’. Taylor & Francis, 1975
work page 1975
-
[4]
Flatness and defect of non-linear systems: introductory theory and examples,
M. Fliess, J. L ´evine, P. Martin, and P. Rouchon, “Flatness and defect of non-linear systems: introductory theory and examples,”International Journal of Control, vol. 61, no. 6, pp. 1327–1361, 1995
work page 1995
-
[5]
A Lie-B ¨acklund approach to equivalence and flatness of nonlinear systems,
——, “A Lie-B ¨acklund approach to equivalence and flatness of nonlinear systems,”IEEE Trans. Autom. Control, vol. 44, no. 5, pp. 922–937, May 1999
work page 1999
-
[6]
Optimal motion planning and energy-based control of a single mast stacker crane,
H. Rams, M. Sch ¨oberl, and K. Schlacher, “Optimal motion planning and energy-based control of a single mast stacker crane,”IEEE Transactions on Control Systems Technology, vol. 26, no. 4, pp. 1449– 1457, 2018
work page 2018
-
[7]
Optimal control of differen- tially flat systems is surprisingly easy,
L. E. Beaver and A. A. Malikopoulos, “Optimal control of differen- tially flat systems is surprisingly easy,”Automatica, vol. 159, 2024
work page 2024
-
[8]
Real-time dynamic optimization of nonlinear systems: a flatness-based approach,
M. Guay and N. Peters, “Real-time dynamic optimization of nonlinear systems: a flatness-based approach,”Computers & Chemical Engineer- ing, vol. 30, pp. 709–721, 2006
work page 2006
-
[9]
Control of flat systems by quasi-static feedback of generalized states,
E. Delaleau and J. Rudolph, “Control of flat systems by quasi-static feedback of generalized states,”International Journal of Control, vol. 71, no. 5, pp. 745–765, Jan. 1998
work page 1998
-
[10]
Tracking control for(x, u)- flat systems by quasi-static feedback of classical states,
C. Gst ¨ottner, B. Kolar, and M. Sch ¨oberl, “Tracking control for(x, u)- flat systems by quasi-static feedback of classical states,”Symmetry, Integrability and Geometry: Methods and Applications, 2024
work page 2024
-
[11]
Liberzon,Calculus of Variations and Optimal Control Theory: A Concise Introduction
D. Liberzon,Calculus of Variations and Optimal Control Theory: A Concise Introduction. Princeton University Press, 2012
work page 2012
-
[12]
Definitions of order and junction conditions in singular optimal control problems,
R. M. Lewis, “Definitions of order and junction conditions in singular optimal control problems,”SIAM Journal on Control and Optimiza- tion, vol. 18, no. 1, pp. 21–32, 1980
work page 1980
-
[13]
Feedback linearization and driftless systems,
P. Martin and P. Rouchon, “Feedback linearization and driftless systems,”Mathematics of Control, Signals, and Systems, vol. 7, pp. 235–254, 1994
work page 1994
-
[14]
Describing and calculating flat outputs of two-input driftless control systems,
S.-J. Li and W. Respondek, “Describing and calculating flat outputs of two-input driftless control systems,”IFAC Proceedings Volumes, vol. 43, pp. 683–688, 2010
work page 2010
-
[15]
H. Nijmeijer and A. van der Schaft,Nonlinear dynamical control systems. Springer, 1991
work page 1991
-
[16]
A structurally flat triangular form based on the extended chained form,
C. Gst ¨ottner, B. Kolar, and M. Sch ¨oberl, “A structurally flat triangular form based on the extended chained form,”International Journal of Control, vol. 95, no. 5, pp. 1144–1163, 2022
work page 2022
-
[17]
A flat triangular structure based on a multi-chained form,
G. Hartl, C. Gst ¨ottner, and M. Sch ¨oberl, “A flat triangular structure based on a multi-chained form,” Nov. 2025, arXiv:2510.26632, Accepted for ECC 2026. [Online]. Available: http://arxiv.org/abs/2510.26632
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.