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作者：Sultangazin, Alimzhan; Tabuada, Paulo
作者单位：University of California System; University of California Los Angeles
摘要：Cloud computing platforms are being increasingly used for closing feedback control loops, especially when computationally expensive algorithms, such as model-predictive control, are used to optimize performance. Outsourcing of control algorithms entails an exchange of data between the control system and the cloud and, naturally, raises concerns about the privacy of the control system's data (e.g., state trajectory and control objective). Moreover, any attempt at enforcing privacy needs to add ...
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作者：Zhang, Silun; Ringh, Axel; Hu, Xiaoming; Karlsson, Johan
作者单位：Massachusetts Institute of Technology (MIT); Hong Kong University of Science & Technology; Royal Institute of Technology
摘要：In this article we introduce an approach for modeling and analyzing collective behavior of a group of agents using moments. We represent the group of agents via their distribution and derive a method to estimate the dynamics of the moments. We use this to predict the evolution of the distribution of agents by first computing the moment trajectories and then use this to reconstruct the distribution of the agents. In the latter an inverse problem is solved in order to reconstruct a nominal distr...
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作者：Alenezi, Badriah; Zhang, Mukai; Hui, Stefen; Zak, Stanislaw H.
作者单位：Kuwait University; Purdue University System; Purdue University; California State University System; San Diego State University
摘要：A state observer and unknown input and output disturbance estimators are proposed for discrete-time linear systems corrupted by bounded unknown inputs and output disturbances. Necessary and sufficient conditions for the existence of the state observer and disturbance estimators are given. Relationships with the strong observer of Hautus are investigated. The state, unknown input, and output disturbance estimation errors are guaranteed to be l(infinity)-stable with prescribed performance level....
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作者：Saito, Taiga; Takahashi, Akihiko
作者单位：University of Tokyo
摘要：This article presents a problem on model uncertainties in stochastic control, in which an agent assumes a best case scenario on one risk and at the same time a worst case scenario on another risk. Particularly, the agent maximizes its view on a Brownian motion, simultaneously minimizing its view on another Brownian motion in choice of a probability measure. This selection method of a probability measure generalizes an approach to model uncertainties in which one considers the worst case scenar...
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作者：Maria Manzano, Jose; Munoz de la Pena, David; Calliess, Jan-Peter; Limon, Daniel
作者单位：Universidad Loyola Andalucia; University of Sevilla; University of Oxford
摘要：This article presents a novel learning method based on componentwise Holder continuity, which allows one to consider independently the contribution of each input to each output of the function to be learned. The method provides a bounded prediction error, and its learning property is proven. It can be used to obtain a predictor for a nonlinear robust learning-based predictive controller for constrained systems. The resulting controller achieves better closed loop performance and larger domains...
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作者：Devraj, Adithya M.; Kontoyiannis, Ioannis; Meyn, Sean P.
作者单位：Stanford University; University of Cambridge; State University System of Florida; University of Florida
摘要：Value functions derived from Markov decision processes arise as a central component of algorithms as well as performance metrics in many statistics and engineering applications of machine learning. Computation of the solution to the associated Bellman equations is challenging in most practical cases of interest. A popular class of approximation techniques, known as temporal difference (TD) learning algorithms, are an important subclass of general reinforcement learning methods. The algorithms ...
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作者：Kawano, Yu; Kosaraju, Krishna Chaitanya; Scherpen, Jacquelien M. A.
作者单位：Hiroshima University; University of Notre Dame; University of Groningen; University of Groningen
摘要：In this article, our objective is to develop novel passivity-based control techniques by introducing a new passivity concept named Krasovskii passivity. As a preliminary step, we investigate the properties of Krasovskii passive systems and establish relations among four relevant passivity concepts including Krasovskii passivity. Then, we develop novel dynamic controllers based on Krasovskii passivity and based on shifted passivity.
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作者：Lu, Xiaodong; Li, Haitao
作者单位：Shandong Normal University
摘要：In this article, the H-infinity problem of nonlinear descriptor systems (NDSs) is investigated. For regular or nondescriptor systems, this problem can be solved via the event-triggered control law. But this control law may be ineffective for the same problem of descriptor systems. The reason is that the discontinuity of the event-triggered controller will cause sudden failure of the algegbraic part of descriptor systems at each triggering instant. From the perspective of mathematics, the algeb...
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作者：Vardulakis, Antonis; Yannakoudakis, Aristotelis; Wei, Cui; Chai, Tianyou
作者单位：Aristotle University of Thessaloniki; Northeastern University - China
摘要：In this article, we generalize previously reported results for linear, time-invariant, stabilizable multivariable systems described by a strictly proper transfer function matrix P(s) with number of outputs greater than or equal to the number of inputs. By making use of a special kind of a left generalized inverse P(s)(alpha)(circle plus) a of P(s), we define and examine the equivalent relation R relating P(s) with the members of the equivalence class [P(s)](R) of the closed loop-transfer funct...
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作者：Ajorlou, Amir; Jadbabaie, Ali
作者单位：Massachusetts Institute of Technology (MIT); Massachusetts Institute of Technology (MIT)
摘要：We pose Witsenhausen's problem as a leader-follower game of incomplete information. The follower makes a noisy observation of the leader's action (who moves first) and chooses an action minimizing her expected deviation from the leader's action. Knowing this, the leader who observes the realization of the state chooses an action that minimizes her distance to the state of the world and the ex-ante expected deviation from the follower's action. We study the perfect Bayesian equilibria of the ga...
