This paper presents an open-source miniature carlike robot with low-cost sensing and a pipeline for optimizationbased system identification, state estimation, and control. The overall robotics platform comes at a cost...
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We present a nonlinear non-convex model predictive control approach to solving a real-world labyrinth game. We introduce adaptive nonlinear constraints, representing the non-convex obstacles within the labyrinth. Our ...
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The stochastic optimal control problem of an ordinary non-linear discrete stochastic system is considered. The quality of control is estimated by the mathematical expectation of the Boltz type functional to be minimiz...
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We present a model predictive control (MPC) formulation to directly optimize economic criteria for linear constrained systems subject to disturbances and uncertain model parameters. The proposed formulation combines a...
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This paper presents an air traffic prediction algorithm that takes observations of an aircraft and classifies its aircraft type, estimates the aircraft’s intent to and method of joining an airport traffic pattern, an...
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The current state-of-the-art in quadruped locomotion is able to produce a variety of complex motions. These methods either rely on switching between a discrete set of skills or learn a distribution across gaits using ...
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This paper investigates limitations in achievable robustness of statically unstable aircraft using the Bode sensitivity integral. A previous analysis of the X-29 aircraft is studied, and details about the available ba...
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Aiming at the low operation rate of the firing mechanism of ammunition fuze, robustness analysis and probabilistic design methods were introduced into the fuze design to carry out system simulation research on perform...
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In this paper, robust anisotropy-based analysis problem for discrete-time descriptor systems with polytopic uncertainties is stated and solved. Sufficient conditions for anisotropic norm boundedness are formulated in ...
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This paper presents convex solution to the anisotropy-based analysis and state-feedback control of linear discrete-time systems with norm bounded uncertainties. The solution is obtained using linear matrix inequalitie...
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