Above are papers related to the following paper: [Paper_ID] Paper #245955. 	[Title] Robust performance and adaptation using receding horizon H 1 control of time varying systems. [Abstract] In this paper we construct suboptimal H 1 controllers which satisfy a new robust performance condition, using the receding horizon technique. A method is described for the synthesis of H 1 controllers online, making use of the exact plant model only on a finite interval extending into the future. Inequalities based on the two Riccati differential equation solution to the finite horizon H 1 problem are derived, and the resulting freedom is exploited to construct H 1 controllers which have a closed loop induced norm less than a prespecified value for all plants within a set, which is described in terms of the future variation of the plant. Dual results, with a possible adaptive interpretation, are also constructed. Please summarise all the given information.

Above are papers related to the following paper: [Paper_ID] Paper #17821. 	[Title] A game theoretic approach to moving horizon control [Abstract] A control law is constructed for a linear time varying system by solving a two player zero sum differential game on a moving horizon, the game being that which is used to construct an H 1 controller on a finite horizon. Conditions are given under which this controller results in a stable system and satisfies an infinite horizon H 1 norm bound. A risk sensitive formulation is used to provide a state estimator in the observation feedback case. Please summarise all the given information.

Paper #245955 has the title `Robust performance and adaptation using receding horizon H 1 control of time varying systems.  
` and the abstract `In this paper we construct suboptimal H 1 controllers which satisfy a new robust performance condition, using the receding horizon technique. A method is described for the synthesis of H 1 controllers online, making use of the exact plant model only on a finite interval extending into the future. Inequalities based on the two Riccati differential equation solution to the finite horizon H 1 problem are derived, and the resulting freedom is exploited to construct H 1 controllers which have a closed loop induced norm less than a prespecified value for all plants within a set, which is described in terms of the future variation of the plant. Dual results, with a possible adaptive interpretation, are also constructed. 
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Question: Which category should Paper #245955 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].


Paper #245955 has the title `Robust performance and adaptation using receding horizon H 1 control of time varying systems.  
` and the abstract `In this paper we construct suboptimal H 1 controllers which satisfy a new robust performance condition, using the receding horizon technique. A method is described for the synthesis of H 1 controllers online, making use of the exact plant model only on a finite interval extending into the future. Inequalities based on the two Riccati differential equation solution to the finite horizon H 1 problem are derived, and the resulting freedom is exploited to construct H 1 controllers which have a closed loop induced norm less than a prespecified value for all plants within a set, which is described in terms of the future variation of the plant. Dual results, with a possible adaptive interpretation, are also constructed. 
`.
Question: Which category should Paper #245955 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].

This paper should be classified into: Reinforcement_Learning