Vamsi Kalyan Putta

Multi-agent control for centralized air conditioning systems serving multi-zone buildings

Coordinating different components in a complex air conditioning system is challenging for centralized controls due to the large number of optimization variables. In this scenario, de-centralized controls are more appropriate alternatives. This study proposes a multi-agent control methodology for the optimal control of centralized air conditioning systems that are typically adopted in multi-zone commercial buildings. A hierarchical multi-agent framework is developed in which the agents cooperate to find the optimal operating point. Two consensus-based distributed optimization algorithms are formulated for this specific type of problem, which form the underlying mechanism of intra-agent optimization and inter-agent cooperation. Finally, a 3-zone building case study is used to demonstrate the performance of the proposed approach.

A study of the generalized input-to-state ℒ 2 -gain of discrete-time switched linear systems

A generalized notion of the input-to-state ℒ2-gains of discrete-time switched linear systems is proposed in this paper. Such gains are then characterized using the radii of convergence of a family of suitably defined functions called the generating functions. Properties of the generating functions are studied and their numerical computation algorithms are developed. Some numerical examples are presented.

Comparative evaluation of model predictive control strategies for a building HVAC system

The paper presents an evaluation procedure for a few promising Model Predictive Control (MPC) based approaches in supervisory control of building heating, ventilation and air-conditioning (HVAC) systems. A case study is established and control trajectories are generated using the proposed solvers. The resulting trajectories are evaluated in terms of benchmark metrics taking energy costs and occupant discomfort into account. A direct approach to incorporate occupant discomfort in the cost function is also proposed. Results indicate potential savings using MPC solvers when compared to the baseline.

Air traffic complexity in future Air Traffic Management systems

In this paper the authors study the issue of characterizing the complexity of air traffic to support Air Traffic Management (ATM) operations. The authors discuss, in particular, the features of a complexity metric that are relevant for application to future ATM systems where part of the responsibility for separation assurance and trajectory management operations is distributed on board of the aircraft. The authors then describe a probabilistic complexity metric that meets all those features and is amenable for supporting on board conflict detection and resolution and trajectory management operations. A numerical example illustrates its possible use in a fully automated self-separation context.

Generalized Input-to-State

A generalized notion of input-to-state

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-Gains of Discrete-Time Switched Linear Control Systems

-gain is proposed for discrete-time switched linear control systems (SLCSs). Dependent on a discount factor of subsystem matrices, this generalized

A switched dynamic programming approach towards optimal control of multiple rooftop units

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Dynamic programming based approaches to optimal rooftop unit coordination

-gain provides new insight into input-to-state behaviors of the SLCSs under parameter variations. After establishing analytical properties of the generalized

Efficient computation of generalized input-to-state ℒ 2 -gains of discrete-time switched linear systems

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