Quantifying the Safety of Trajectories by Minimizing the Peak Control Effort Required to Crash into an Unsafe Set
The core message of this article is that the safety of trajectories of a dynamical system can be quantified by the minimum control effort (perturbation intensity) required to render the system unsafe and cause it to crash into an unsafe set.
Optimal Control of a First-Order System with Global Aftereffect on Quantum Graphs
The core message of this article is to extend the problem of damping a first-order control system with aftereffect, previously considered only on an interval, to an arbitrary tree graph. The authors establish the equivalence of the corresponding variational problem to a self-adjoint boundary value problem on the tree, and prove the unique solvability of both problems.
Optimality Conditions and Regularity Properties in Infinite-Dimensional Optimal Control Problems
The core message of this article is to present a survey on the properties of Strong Metric Regularity (SMR) and Strong Metric subRegularity (SMsR) of mappings representing first order optimality conditions (optimality mappings) in infinite dimensional spaces, with a focus on optimal control problems for ODE systems or PDEs. The authors emphasize an extension of these concepts involving two metrics either in the domain or in the image spaces, and show the relevance of this extension in optimal control.
무한 시간 혼합 H2/H∞ 제어의 최적 해법
이 논문에서는 무한 시간 혼합 H2/H∞ 제어 문제에 대한 정확한 폐루프 해법을 제시한다. 최적 제어기는 비합리적이지만, 유한 차원 매개변수로 완전히 특성화될 수 있다. 또한 제안된 반복 알고리즘을 통해 최적 제어기를 주파수 영역에서 효율적으로 계산할 수 있다.
Optimal Infinite-Horizon Mixed H2/H∞ Control for Discrete-Time Linear Systems
The optimal causal controller that minimizes the H2-cost of the closed-loop system subject to an H∞ constraint can be characterized in the frequency domain, even though it is non-rational.
Optimal Control of Stochastic Reaction Networks with Mass-Action Kinetics
The core message of this paper is to develop an optimal control theory for stochastic reaction networks, which is an important problem with significant implications for the control of biological systems. The authors provide a comprehensive analysis of the continuous-time and sampled-data optimal control problems for stochastic reaction networks, deriving the optimal control laws and characterizing them in terms of Hamilton-Jacobi-Bellman equations and Riccati differential equations.
Optimal Control of Discrete-Time Systems with Bounded Disturbances
This paper introduces an optimal control approach for linear discrete-time systems subject to bounded disturbances, based on a novel duality between ellipsoidal approximations of reachable and hardly observable sets.
Optimal Distributionally Robust Control for Linear Quadratic Gaussian Systems under Distributed Uncertainty
The paper proposes a new paradigm for the robustification of the LQG controller against distributional uncertainties on the noise process. The controller optimizes the closed-loop performance in the worst possible scenario under the constraint that the noise distributional aberrance does not exceed a certain threshold limiting the relative entropy between the actual noise distribution and the nominal one. The key novelty is that the bounds on the distributional aberrance can be arbitrarily distributed along the whole disturbance trajectory.
A Model-Free Optimal Control Method for Systems with Fixed Terminal States and Delay
A new model-free algorithm based on basis functions, gradient estimation, and the Lagrange method is proposed to solve optimal control problems with fixed terminal states and hybrid system dynamics, including state-dependent switching and time delays.
시간 최적 제어를 위한 선형 제어 가능 시스템의 증강 스위칭 법칙에 기반한 새로운 상태 중심 필요 조건
이 논문은 선형 제어 가능 시스템의 시간 최적 제어를 위한 새로운 이론적 틀을 제시하며, 상태 정보만으로도 최적성을 판단할 수 있는 새로운 상태 중심 필요 조건을 제안한다.
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