The interaction effects among individual loops and multiple time delays are the prime reasons for degrading the closed-loop performance of multivariable systems. For highly interacting systems, decouplers are used to ...
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A chemical reaction mechanism (CRM) is a sequence of molecular-level events involving bond-breaking/forming processes, generating transient intermediates along the reaction pathway as reactants transform into products...
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Aninfinite-dimensional nonlinear model for a two-degree-of-freedom highly flexible wing is presented in this paper. The model describes the coupled dynamics of bending and torsion in terms of a set of nonlinear partia...
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Lyapunov-Schmidt reduction is a dimensionality reduction technique in nonlinear systems analysis that is commonly utilised in the study of bifurcation problems in high-dimensional systems. The method is a systematic p...
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We present QuIFS (Quasi-Interpolation driven Feedback Synthesis): an offline feedback synthesis algorithm for explicit nonlinear robust minmax model predictive control (MPC) problems with guaranteed quality of approxi...
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This paper addresses trajectory planning for overtaking maneuvers in a dynamic, two-way, two-lane environment. The proposed novel five-stage planning algorithm comprises initial lane change, acceleration, final lane c...
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ISBN:
(数字)9798350348811
ISBN:
(纸本)9798350348828
This paper addresses trajectory planning for overtaking maneuvers in a dynamic, two-way, two-lane environment. The proposed novel five-stage planning algorithm comprises initial lane change, acceleration, final lane change, abort, and final lane change abort. This algorithm allows overtaking to be aborted in oncoming lane danger, reverting to the original lane. Employing a point mass model-based model predictive control (MPC) framework, separate longitudinal and lateral planning is conducted in each phase, combined to generate the overall trajectory. A practical nonlinear bicycle model is employed for trajectory tracking to address kinematic infeasibility. Furthermore, the tracking controller utilizes adaptive MPC. Numerical simulations validate the performance of the proposed algorithm.
This paper shows that the torpedo-type Autonomous Underwater Vehicle (AUV) exhibits the non-minimum phase behavior in the depth control operation for a certain range of forward velocity. Contributions in this paper ar...
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This paper considers solving distributed optimization problems in peer-to-peer multi-agent networks. The network is synchronous and connected. By using the proportional-integral (PI) control strategy, various algorith...
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The trajectory tracking problem is a fundamental control task in the study of mechanical systems. Hamiltonian systems are posed on the cotangent bundle of configuration space of a mechanical system, however, symmetrie...
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The trajectory tracking problem is a fundamental control task in the study of mechanical systems. Hamiltonian systems are posed on the cotangent bundle of configuration space of a mechanical system, however, symmetries for the full cotangent bundle are not commonly used in geometric control theory. In this paper, we propose a group structure on the cotangent bundle of a Lie group and leverage this to define momentum and configuration errors for trajectory tracking, drawing on recent work on equivariant observer design. We show that this error definition leads to error dynamics that are themselves “Euler-Poincare like” and use these to derive simple, almost global trajectory tracking control for fully-actuated Euler-Poincare systems on a Lie group state space.
We study a formation control problem of nonholonomic vehicles which consists in making a group of them gather around a given rendezvous set-point and acquire a common orientation. This task may be regarded as part of ...
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